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Next Generation: AI-Powered Business Intelligence

Following SavvyIQ's acquisition of BigPicture's technology, our combined team has built a next-generation AI-native platform that solves the fundamental limitations of domain-based company data.

Why We Built Something New​

The BigPicture technology had critical limitations that couldn't be solved with incremental improvements:

BigPicture Limitations​

  • Domain Dependency: No data for companies without websites
  • Missing Legal Entities: No official business registration data
  • Limited Classification: Lack of robust industry classifications and NAICS codes
  • No Corporate Hierarchies: Limited ability to map parent/subsidiary relationships
  • Limited Intelligence: Rules-based approach can lead to incorrect matches

The Solution: SavvyIQ​

At SavvyIQ, the combined team built from the ground up with:

  • AI Agents: Conduct research like human analysts
  • Government Foundation: 265M+ entities from 140+ registrars
  • Confidence Scoring: Know exactly how reliable each match is
  • Global Support: Works for businesses with or without web presence

Technology Comparison​

Key Differences at a Glance

The fundamental difference: BigPicture uses domain-based web scraping while SavvyIQ uses AI agents grounded in government registrar data. This architectural shift enables a dramatic accuracy improvement.

Data Quality​

FeatureBigPictureSavvyIQ
Legal EntityInferredGovernment verified
Corporate HierarchyNoneFull parent/subsidiary
Industry CodesLimitedMultiple classification taxonomies with confidence
Geographic CoverageWeb-visible only265M+ entities globally
ExplainabilityNoneDetailed factors for each match

Real-World Examples​

Here are examples of input data that BigPicture couldn't handle, while SavvyIQ achieves a 92% match rate with its Entity Resolution process.

Name: "Federal Realty OP LP f/k/a Federal Realty Investment Trust"
Location: "909 Rose Avenue Suite 200 Rockville, MD 20852"

Entity names with "formerly known as" references requiring historical research to connect current and previous legal structures.

Concatenated Data Fields​

Name: "Meridian 1674, LLC 1111 Brickell Ave Suite 2175 Miami, FL 33131"
Location: "1111 Brickell Ave Suite 2175 Miami, FL 33131"

Company names and addresses mixed together in single fields that need parsing and validation.

Mixed Identifiers and Metadata​

Name: "ARAMEX BAHRAIN W.L.L. VAT NO : 200000724100002 P.O.BOX 26951"
Location: "BAHRAIN"

Entity names mixed with tax IDs, registration numbers, and partial addresses requiring jurisdiction-specific knowledge.

International Entities with Local Identifiers​

Name: "FORD MOTOR COMPANY CHILE SPA R.U.T.-.C.L. 787039103"
Location: "Chile"

Cross-border entities with local tax identifiers requiring jurisdiction-specific knowledge and global corporate structure mapping.

Multi-Lingual Entity Names​

Name: "株式会社ソニー (Sony Corporation)"
Location: "Tokyo, Japan"

Entity names in multiple scripts requiring cross-language matching and verification.

Getting Started with SavvyIQ​

Step 1: Explore the APIs​

Visit SavvyIQ Documentation to understand the three core APIs:

  • Entity Resolution: Turn any business reference into a verified entity
  • Business Intelligence: Get comprehensive enrichment data
  • Domain Intelligence: Enhanced version of BigPicture's Company API

Step 2: Get API Access​

Sign up at savvyiq.ai for:

  • Free tier to test the APIs
  • Migration assistance for BigPicture users
  • Technical support during transition

Step 3: Test Your Use Cases​

Try queries that BigPicture couldn't handle:

  • Companies without websites
  • Name variations and typos
  • Disambiguation needs
  • Legal entity verification