Insig AI
Insig AI plc is an AIM-listed AI company that converts unstructured central bank and corporate financial documents into machine-readable data for asset managers, financial institutions, and AI developers, via its Generative Intelligence Engine and proprietary datasets covering 60+ central banks and 6,000+ companies.
- Company typePublic
- Founded2017
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Insig AI firmographics
Firmographics- Name
- Insig AI
- Legal name
- Insig AI plc
- Website
- https://insg.ai
- Company type
- Public
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Insig AI plc is an AIM-listed AI company that converts unstructured central bank and corporate financial documents into machine-readable data for asset managers, financial institutions, and AI developers, via its Generative Intelligence Engine and proprietary datasets covering 60+ central banks and 6,000+ companies.
- Ownership category
- akta.pro rank
Insig AI industry classification
Industry- Product category
- Financial Data & AI Analytics
- NAICS
- Software Publishers (51321), Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Intelligent Document Processing (IDP) & OCR Automation (HDAEAHAC)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)
Keywords
Where Insig AI is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Insig AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Enterprise License Contracts: Direct enterprise licensing agreements with existing clients. The company secured a £60,000 enterprise license contract featuring a revenue share arrangement that grants access to the client's customer base for direct sales opportunities. Demonstrates platform's commercial relevance and ability to support clients.
- Data-as-a-Service (Datasets): AI-ready machine-readable datasets offered to customers for model training, classifier creation, and algorithm support. Covers central banks and corporate financial reports.
- Revenue Share Agreements: Commercial arrangements where Insig AI receives revenue share from clients in exchange for platform access and direct sales opportunities within client's customer base.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise License with Revenue Share |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Insig AI product offering
Product offeringCore offering
Insig AI builds an AI-powered document intelligence platform that converts unstructured financial documents — including central bank speeches, minutes, press releases, corporate financial reports, and ESG/sustainability disclosures — into structured, machine-readable data using generative AI and NLP. It sells this capability as enterprise solutions (Central Bank Analysis, Corporate Report Analysis) and as curated Datasets products covering 60+ central banks and 6000+ companies, delivered via PDF, Raw Text, CSV, API, and an MCP server, primarily to financial institutions, asset managers, and corporate sustainability teams.
Product overview
Insig AI is an AI-powered financial intelligence platform offering a unified portfolio of solutions and products. The core offerings include Central Bank Analysis and Corporate Report Analysis solutions, backed by a proprietary Datasets product covering 6000+ companies and 60+ central banks globally. The platform architecture consists of three integrated components: Core Infrastructure (data processing and delivery), Intelligence Engine (document-to-structured-data conversion using generative AI), and Domain Intelligence (specialized financial analysis). The platform processes text, video, and audio content across multiple languages and delivers machine-readable data optimized for model training, NLP classifier creation, and algorithmic trading strategies.
Differentiator
Problem solved
Functional benefit
Products and services
- Central Bank Analysis An AI-powered analysis solution for central bank content covering 60+ central banks globally. It supports analysis of speeches, minutes, press releases, videos, and audio content in any language, and is aimed at financial institutions, asset managers, and central banks needing structured, machine-readable insight into monetary policy and central bank communications.
- Corporate Report Analysis An AI-powered analysis solution for corporate financial reports and ESG/sustainability documents, providing AI-ready, machine-readable corporate reporting data across 6000+ companies. Aimed at corporate sustainability teams, asset managers, and analysts needing structured access to financial and ESG disclosures for reporting, sentiment analysis, and model training.
- Datasets A centralized, curated, machine-readable dataset of financial reports and documents covering 6000+ companies, 300k+ documents, and 2m+ machine-readable sentences, including central bank data (60+ central banks) and sustainability data (50+ sustainability entities). Delivered via Source PDF, Raw Text, or CSV formats for AI/ML model training, NLP classifier creation, sentiment analysis, and algorithmic trading strategies.
Quantifiable outcome
- 56% revenue growth reported in 2026
- +3 more outcomes
Companies that use Insig AI
Customer profileNamed customers1 record
Segments4 records
Ideal customer profiles3 records
Insig AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability8 records
Feature5 records
Insig AI partnerships and signals
Strategic signalScale indicators8 records
Recent moves7 records
Expansion highlights6 records
Insig AI competitors and assessment
Company assessmentEmerging players
- YipitData: Alternative data provider offering structured, web-scraped datasets to institutional investors. Comparable in monetising proprietary structured data feeds for asset managers, though focused on alternative rather than central bank/corporate filings.
- Koyfin: Financial data and analytics platform offering institutional-grade visualisations, fundamentals, and estimates for investors. Comparable in serving a similar asset-management buyer with a modern, AI-enhanced data interface.
- M Science: Alternative data provider for institutional investors, monetising proprietary datasets and analytics for asset managers. Adjacent in business model — selling structured data feeds to the same buy-side customers Insig AI targets.
- FiscalNote: AI-driven regulatory and policy data platform, including the acquired Quid text-analytics business. Comparable in applying AI to large corpora of policy, regulatory, and unstructured text for institutional decision-making.
- Eidosmedia: Provides editorial and content platforms for financial newsrooms and research desks, with growing AI/NLP capabilities. Overlaps with Insig AI's enterprise document workflows for financial publishing customers.
Broad incumbents
- Bloomberg L.P. Operates Bloomberg Terminal and a wide portfolio of financial data, analytics, and increasingly AI-driven research tools serving the same institutional customers. Incumbent that can bundle comparable structured-data offerings into larger enterprise contracts.
- LSEG (Refinitiv): Owns Refinitiv Workspace and a broad suite of financial data, pricing, and analytics products. Competes with Insig AI on structured financial content distribution and is actively embedding AI/ML into its data products.
- S&P Global Market Intelligence: Provides fundamental data, financials, and analytics on public and private companies to investment professionals. Direct adjacency in structured corporate datasets, with overlapping customers in asset management.
Direct peers
- RavenPack: Applies NLP and AI to unstructured financial news, filings, and alternative data for quant and fundamental investors. Highly comparable in turning unstructured financial content into machine-readable signals for the same buy-side customer base.
- AlphaSense: AI-powered market intelligence platform that ingests and structures large volumes of financial documents, research, and expert calls for institutional investors. Direct overlap with Insig AI's enterprise document-to-structured-data proposition and target buyer (asset managers, banks).
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Insig AI social profiles
Digital presenceInsig AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Insig AI leadership team
Management profileNumber of profiles
Profiles3 records
Insig AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Insig AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Insig AI
What does Insig AI do?
Insig AI builds an AI-powered document intelligence platform that converts unstructured financial documents — including central bank speeches, minutes, press releases, corporate financial reports, and ESG/sustainability disclosures — into structured, machine-readable data using generative AI and NLP. It sells this capability as enterprise solutions (Central Bank Analysis, Corporate Report Analysis) and as curated Datasets products covering 60+ central banks and 6000+ companies, delivered via PDF, Raw Text, CSV, API, and an MCP server, primarily to financial institutions, asset managers, and corporate sustainability teams.
Is Insig AI a public or private company?
Insig AI is a public company. It is classified as public and is currently operating.
When was Insig AI founded?
Insig AI was founded in 2017. It employs 11 to 50 people.
Where is Insig AI based?
Insig AI is headquartered in London, United Kingdom, in the Europe region.
How does Insig AI make money?
Three revenue lines are on record. Enterprise License Contracts are the primary driver. The others are data-as-a-Service (Datasets) and revenue Share Agreements.
Who are Insig AI's main competitors?
Emerging players on record are YipitData, Koyfin, M Science, FiscalNote and Eidosmedia. Broad incumbents are Bloomberg L.P., LSEG (Refinitiv) and S&P Global Market Intelligence. Direct peers are RavenPack and AlphaSense.
Does Insig AI have an API?
Yes. Insig AI offers an MCP (Model Context Protocol) server for its central bank dataset. The MCP server at cb-mcp.insig.ai allows users to query foreign-language central bank content directly in Claude. The Intelligence Engine converts documents into structured, machine-readable data and performs targeted analyses.
What industry is Insig AI in?
Insig AI's product category is Financial Data & AI Analytics. Its primary akta.pro industry code is HDAEAHAC, Intelligent Document Processing (IDP) & OCR Automation, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 51321 and its SIC code is 7372.