deepsearch labs
DeepSearch Labs is a London-based deeptech company (founded 2020) that builds an enterprise AI intelligence platform combining a proprietary knowledge graph with multimodal search, analysis, and synthesis across text, audio, image, and video, serving enterprises in finance, legal, consulting, alternative investments, and corporate due diligence.
- Company typePrivate
- Founded2020
- HeadquartersLondon, United Kingdom
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What deepsearch labs does
DeepSearch Labs is a London-based deep-tech company founded in 2020 that builds an enterprise-grade AI intelligence platform for knowledge discovery, analysis and synthesis across internal and online data. Its core product, the DSL Intelligence Platform, combines a proprietary knowledge graph with multimodal AI capabilities spanning text, audio, image, and video. The system processes inputs via dedicated scrapers (PDF, audio with speaker mapping, web, and private/internal data) and produces structured outputs including research reports, sentiment signals, trend analyses, AI-generated videos, and podcasts. The company explicitly positions its AI as developed in-house rather than built on third-party models such as ChatGPT, with capabilities including entity extraction, anomaly detection, predictive analytics, workflow automation, and customizable recommendation/sentiment engines serving over 100 languages.
The company packages this platform into five solution verticals: Corporate Intelligence and Due Diligence, Finance, Alternative Investment, Consultancies, and (with a sixth) Media and Consumer Goods. Named enterprise customers span venture capital (Octopus Ventures, OTB VC), aviation (Jetcraft), legal (Stewarts Law), e-commerce/consumer brands (Unybrands), international business development (Altios), alternative investments (Zardvest), and consulting (Bridgehead, Haklut & Co). Customer evidence such as a 45-page report generated from 500,000 references in 2 days versus an estimated 4+ months for human analysts indicates the platform's throughput advantage in due-diligence and research workflows.
The business model combines platform subscriptions (multi-year contracts, quote-based enterprise pricing), professional consulting services, and algorithm licensing. Distribution is sales-led and field-based, leveraging global event presence (Web Summit Qatar, Istanbul Fintech Summit, ETH London, Oxford AI & Web3, Codex, Neudata London), multi-cloud deployment partnerships with AWS, GCP, and Microsoft Azure, and recognitions including the CogX Rising Star in Tech Award (2023), Sifted and Amadeus Capital's Gen AI watchlist (2023), Barclays Equity Researchers' European Startup to Track (2024), and Codex Top 50 Innovators of 2024.
deepsearch labs firmographics
Firmographics- Name
- deepsearch labs
- Legal name
- DeepSearch Labs
- Website
- https://deepsearchlabs.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- DeepSearch Labs is a London-based deeptech company (founded 2020) that builds an enterprise AI intelligence platform combining a proprietary knowledge graph with multimodal search, analysis, and synthesis across text, audio, image, and video, serving enterprises in finance, legal, consulting, alternative investments, and corporate due diligence.
- Ownership category
- akta.pro rank
deepsearch labs industry classification
Industry- Product category
- AI Intelligence Platform
- NAICS
- Software Publishers (5132), Software Publishers (513210), Web Search Portals and All Other Information Services (51929)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Vertical/Specialty Search (e.g., jobs, real estate, travel, products) (BPAMAAAD), Enterprise Search, Indexing & Content Discovery (HDAEAGAH), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where deepsearch labs is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
deepsearch labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Platform Software Subscription: Enterprise-grade AI intelligence platform subscription providing access to the full suite of data engineering, algorithms, and applications including knowledge graph visualization, multimodal search, and report generation capabilities.
- Consulting Services: Professional consulting services for developing tailored solutions based on unique data needs, helping organizations develop cutting-edge data pipelines and become AI-ready.
- Algorithm Licensing: Sale of proprietary algorithms to enable companies to build their own cutting-edge data pipelines and internal capabilities.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Custom enterprise pricing based on organizational requirements |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels9 records
deepsearch labs product offering
Product offeringCore offering
DeepSearch Labs sells an enterprise-grade AI-driven intelligence platform that combines ML-enhanced search with multimodal analysis and synthesis. The platform ingests both internal client data and a proprietary corpus of online data through a proprietary knowledge graph, producing research reports, sentiment signals, trend analyses, short videos, and podcasts. It is offered across industry-specific solution verticals (Finance, Corporate Intelligence, Alternative Investment, Consultancies, Media, Consumer Goods) and complemented by consulting services and algorithm licensing.
Product overview
DeepSearch Labs offers a unified AI Intelligence Platform (the DSL Platform) as its core product, combining ML-enhanced search with multimodal analysis and synthesis capabilities. The platform is built around a proprietary Knowledge Graph and supports multiple data ingestion modules including PDF Scraper, Audio Scraper with Speaker Mapping, Web Scraper, and Private Scraper. Output modules include Report Generation, Videos and Podcasts Generation, Sentiment Signals, and Trend Scoping. The platform is offered across five industry-specific solution verticals: Corporate Intelligence/Due Diligence, Media, Finance, Alternative Investment, and Consultancies/Consumer Goods. Consulting Services and algorithm sales complement the product portfolio. The architecture supports both internal/private data and a corpus of online data, processing text, audio, images, and video in a multimodal pipeline.
Differentiator
Problem solved
Functional benefit
Products and services
- DSL Intelligence Platform Enterprise-grade AI-driven intelligence platform specializing in knowledge discovery, analysis, and synthesis of internal and online data. Combines ML-enhanced search with multimodal analysis and proprietary knowledge graph to produce research reports, sentiment signals, videos, and podcasts. Target customers are large enterprises in finance, intelligence, and consulting sectors.
- Knowledge Graph Proprietary knowledge graph technology that uncovers hidden patterns and insights from user data and the platform's corpus of online data. Helps teams stay ahead of market trends and make informed decisions.
- Corporate Intelligence & Due Diligence Solution Industry-specific solution for corporate intelligence, due diligence, and risk assessment. Provides party intelligence, open-source information collection and analysis, and integrity due diligence using curated online and internal data.
- Finance Solution Intelligence platform for finance sector including hedge funds, PE, asset management, sell-side research, and investment banking. Simplifies data management, accelerates analysis, generates alpha signals, and provides comprehensive investment insights.
- Alternative Investment Solution Intelligence solution for alternative investments enabling discovery of prices and values, trend sourcing, aggregated information access, niche asset research, and domain knowledge retrieval. Positioned as a 'Bloomberg for alternative assets.'
- Consultancies Solution AI search engine for consultancies and market research firms offering competitor lists, company/product breakdowns, sustainability insights, public/private company data, supply chain mapping, and executive profiles.
- Media Solution AI tools for media companies to manage, generate, and analyze content libraries. Includes content search, research, curation, generation, audience insights, and trend identification across video, text, audio, and images.
- Consumer Goods Solution Market research solution for consumer goods companies using AI-driven analysis to understand customer behavior, identify opportunities, forecast trends, and accelerate product launch planning.
- Consulting Services Expert consulting services helping companies build cutting-edge data pipelines, databases, and prepare for AI adoption. Includes algorithm sales and tailored solution development for unique organizational data needs.
Quantifiable outcome
- Research reports generated in 2 days vs 4+ months for human analysts
- +3 more outcomes
Companies that use deepsearch labs
Customer profileNamed customers9 records
Segments6 records
Ideal customer profiles4 records
deepsearch labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability14 records
Feature6 records
deepsearch labs partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered minor and core.
- Istanbul Fintech WeekminorInvited participant in Istanbul Fintech and AI Summit, discussing AI applications in finance and spotlighting women-led fintech companies.
- Neudata ConferenceminorConference participation at Neudata London Conference for showcasing offerings to fellow alt data and fintech industry attendees.
- Amazon (for AWS AI Public Sector)coreSelected as one of 11 cutting-edge startups to showcase at AWS AI in the Public Sector Showcase, chosen from 30 applicants for innovative AI solutions for government organizations.
- AWS (Amazon Web Services)coreCloud infrastructure partnership for platform deployment. DeepSearch Labs leverages AWS cloud services for enterprise clients, enabling scalable data processing and secure cloud-based deployment options.
- GCP (Google Cloud Platform)coreCloud infrastructure partnership providing alternative deployment options for enterprise clients. Supports data upload and processing capabilities on Google Cloud infrastructure.
- Microsoft AzurecoreCloud infrastructure partnership offering enterprise clients flexibility in cloud deployment. Enables Azure-based data storage and processing for customers.
Scale indicators7 records
Recent moves6 records
Expansion highlights5 records
deepsearch labs competitors and assessment
Company assessmentDirect peers
- AlphaSense: Enterprise market intelligence and search platform used by hedge funds, banks, and consultancies to search across filings, research, and news. Closely comparable in target buyer, use cases (due diligence, alpha generation, competitive intelligence), and enterprise subscription model.
- Hebbia: AI knowledge worker for finance and professional services that ingests large document sets and synthesizes answers with citations. Comparable on multimodal document analysis, finance/PE customer base, and report generation.
- Glean: Enterprise AI search platform that unifies internal data (docs, emails, wikis) with permissions-aware retrieval and answer synthesis. Comparable on enterprise search, internal-data grounding, and multimodal knowledge discovery.
Broad incumbents
- Palantir: Large data and AI analytics platform serving enterprises and governments with knowledge-graph-driven intelligence. Overlaps on graph-based analytics, enterprise security posture, and government/public-sector customers, but at vastly larger scale and breadth.
- Bloomberg Terminal: Dominant financial data, news, and analytics platform used by finance professionals. DeepSearch's Alternative Investment solution is explicitly positioned as a 'Bloomberg for alternative assets,' making it a direct conceptual competitor in finance workflows.
- Databricks: Data lakehouse and AI platform with knowledge graph and GenAI tooling. Comparable on multimodal data ingestion, knowledge graph capabilities, and AWS/Azure/GCP deployment, but at vastly larger enterprise scale.
Emerging players
- Perplexity: AI-powered answer engine that synthesizes web sources with citations. Comparable on search-and-synthesis across millions of sources, but positioned more toward consumer/prosumer rather than enterprise intelligence workflows.
- Casetext (Thomson Reuters): AI legal research platform acquired by Thomson Reuters. Overlaps with DeepSearch's Stewarts Law use case around litigation research and corporate intelligence in legal workflows.
- You.com: AI search engine with multimodal output and enterprise offerings. Comparable on AI-driven search, multimodal synthesis, and developer/enterprise APIs.
Others
- Trovata: AI-powered treasury and finance data analytics platform. Adjacent to DeepSearch's finance vertical, focusing on structured financial data analysis for corporates and banks.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
deepsearch labs social profiles
Digital presencedeepsearch labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
deepsearch labs leadership team
Management profileNumber of profiles
deepsearch labs funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
deepsearch labs 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 deepsearch labs
What does deepsearch labs do?
DeepSearch Labs sells an enterprise-grade AI-driven intelligence platform that combines ML-enhanced search with multimodal analysis and synthesis. The platform ingests both internal client data and a proprietary corpus of online data through a proprietary knowledge graph, producing research reports, sentiment signals, trend analyses, short videos, and podcasts. It is offered across industry-specific solution verticals (Finance, Corporate Intelligence, Alternative Investment, Consultancies, Media, Consumer Goods) and complemented by consulting services and algorithm licensing.
Is deepsearch labs a public or private company?
deepsearch labs is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was deepsearch labs founded?
deepsearch labs was founded in 2020. It employs 1 to 10 people.
Where is deepsearch labs based?
deepsearch labs is headquartered in London, United Kingdom, in the Europe region.
How does deepsearch labs make money?
Three revenue lines are on record. Platform Software Subscription is the primary driver. The others are consulting Services and algorithm Licensing.
Who are deepsearch labs's main competitors?
Direct peers on record are AlphaSense, Hebbia and Glean. Broad incumbents are Palantir, Bloomberg Terminal and Databricks. Emerging players are Perplexity, Casetext (Thomson Reuters) and You.com. Trovata is listed as an others.
Does deepsearch labs have an API?
No public API is recorded for deepsearch labs.
What industry is deepsearch labs in?
deepsearch labs's product category is AI Intelligence Platform. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of BPAMAAAD, Vertical/Specialty Search (e.g., jobs, real estate, travel, products). Its NAICS code is 5132 and its SIC code is 7372.