Every organization in the registry ranked by its fit to Center for Information and Neural Networks (Nonprofit, Science and engineering research institutes, Japan), from 0 to 100%: how close it is in what it does, its industry, the distinctive parts both public maps hold, and size and region. Change the weights to rank by what matters to you; the link keeps them.
Nonprofit · Science and engineering research institutes · Japan
Very close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 95% | 61% | +58.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 87% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 76% | 61% | +46.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 75% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 75% | 61% | +45.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 75% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 73% | 61% | +44.5 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 74% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 73% | 61% | +44.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 73% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 69% | 61% | +42.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 69% | 61% | +42.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 69% | 61% | +41.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 68% | 61% | +41.6 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 68% | 61% | +41.5 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 67% | 61% | +41.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 70% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 67% | 61% | +40.7 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 70% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 66% | 61% | +40.6 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 70% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 66% | 61% | +40.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 69% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 66% | 61% | +40.1 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 69% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 64% | 61% | +39.4 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 64% | 61% | +39.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 64% | 61% | +38.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 64% | 61% | +38.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 64% | 61% | +38.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 63% | 61% | +38.8 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 63% | 61% | +38.7 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 63% | 61% | +38.4 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 63% | 61% | +38.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 63% | 61% | +38.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 62% | 61% | +38.1 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 62% | 61% | +38.0 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 62% | 61% | +37.8 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.6 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.5 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.5 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.1 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 61% | 61% | +37.0 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 60% | 61% | +37.0 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 60% | 61% | +36.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 60% | 61% | +36.7 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 60% | 61% | +36.5 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.1 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +36.0 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +35.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 59% | 61% | +35.8 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 58% | 61% | +35.7 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Research · Japan
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 73% | 61% | +44.4 |
| IndustrySame industry | 44% | 33% | +14.7 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 58% | 61% | +35.5 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 72% | 61% | +44.1 |
| IndustrySame industry | 44% | 33% | +14.7 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 58% | 61% | +35.3 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 58% | 61% | +35.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 58% | 61% | +35.2 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 57% | 61% | +35.1 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 57% | 61% | +35.0 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 57% | 61% | +35.0 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 57% | 61% | +34.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Science and engineering research institutes · Japan
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Center for Information and Neural Networks's, against an ordinary organization. | 57% | 61% | +34.9 |
| IndustrySame segment | 70% | 33% | +23.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
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