Filtered
Filtered Intelligence is a UK-based enterprise software company that provides an AI-native learning infrastructure platform connecting content, skills data and learning systems into a unified layer accessible to enterprise AI agents via MCP. It serves large enterprises including NatWest, GSK and AstraZeneca at a fraction of traditional LXP cost.
- Company typePrivate
- Founded2009
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Filtered does
Filtered Technologies Ltd., operating as Filtered Intelligence, is a UK-based enterprise software company founded in 2009 that sells an AI-native learning infrastructure platform to large enterprises. The product connects a customer's existing content estates, skills data, and learning systems (LMS, LXP, HRIS, job frameworks) into a single structured layer that AI agents can query and act on in real time, exposed externally via the Model Context Protocol (MCP). The platform is organised as four interconnected modules: Ingest Content (unified content extraction across sources and formats, including SCORM), Map Skills (AI-powered mapping of content and workforce data to skills frameworks), Signal Quality (continuous automated scoring for relevance, duplication and impact) and Connect AI (MCP-based delivery of the unified layer to enterprise AI assistants such as Microsoft Copilot, Teams AI, Anthropic Claude and OpenAI ChatGPT Enterprise). Content is processed through a self-hosted AI pipeline inside the customer's environment.
The company sells an annual enterprise subscription starting from £70K per year, positioned at roughly one tenth the cost of traditional LXP platforms (£500K–£1.5M+) and deployed in weeks rather than the multi-year timelines of in-house builds. Go-to-market is enterprise field sales via a demo-led motion, with no self-serve or marketplace distribution. Named customers include NatWest, GSK, AstraZeneca, Swisscom, SLB, Anglo American, ECITB and Edrington, with quantified outcomes cited including £1m+ annual savings for AstraZeneca, 97% reduction in skills mapping effort for GSK, 41% content budget saved and 80% faster content curation. Integrations span Microsoft, Workday, Oracle, SAP, Google and Okta.
Filtered is a private, profitable-leaning company that has raised approximately $4.7M across four disclosed rounds since 2016, with Maven Capital Partners leading the 2019 round. It holds ISO 27001 and UK NCSC Cyber Essentials certifications and is led by co-founders Marc Zao-Sanders (CEO) and Vinit Patel (COO), with Greg Detre as Chief Product & Technology Officer and Sunil Purohit as CFO. Headcount sits in the 11–50 range, consistent with a focused, capital-efficient enterprise infrastructure vendor.
Filtered firmographics
Firmographics- Name
- Filtered
- Legal name
- Filtered Technologies Ltd.
- Website
- https://learn.filtered.com
- Company type
- Private
- Founded year
- 2009
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Filtered Intelligence is a UK-based enterprise software company that provides an AI-native learning infrastructure platform connecting content, skills data and learning systems into a unified layer accessible to enterprise AI agents via MCP. It serves large enterprises including NatWest, GSK and AstraZeneca at a fraction of traditional LXP cost.
- Ownership category
- akta.pro rank
Filtered industry classification
Industry- Product category
- Enterprise Learning Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Assessment-Integrated eLearning & Practice Modules (EDAGAEAE)
- akta.pro secondary industry
- Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
Keywords
Where Filtered is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
Filtered business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- Enterprise Software License: Annual subscription license for Filtered Intelligence platform. Priced from £70K per year, significantly lower than traditional LXP costs (£500K-£1.5M+). Works inside existing stack rather than replacing it, reducing total cost of ownership.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Annual enterprise license starting from £70K |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels5 records
Filtered product offering
Product offeringCore offering
Filtered Intelligence is an enterprise learning infrastructure platform that connects content, skills data and learning systems into a single structured layer that enterprise AI agents can access and act on in real time via MCP (Model Context Protocol). It consists of four modules — Ingest Content, Map Skills, Signal Quality and Connect AI — and is sold as an annual enterprise software license to large organizations with existing LMS, LXP and HRIS stacks.
Product overview
Filtered Intelligence is a unified learning infrastructure platform for enterprise AI, consisting of four interconnected modules: Ingest Content pulls and processes learning content from any source; Map Skills AI-maps content and workforce data to skills frameworks; Signal Quality continuously scores and optimizes content assets; and Connect AI exposes the unified layer to AI agents via MCP. The four modules work together as one infrastructure layer, connecting to existing enterprise tools via API.
Differentiator
Problem solved
Functional benefit
Products and services
- Filtered Intelligence Unified learning infrastructure platform for enterprise AI that connects content, skills data and learning systems into a single structured layer that AI agents can act on in real time via MCP. Designed for large enterprises with existing LMS, LXP and HRIS systems.
- Ingest Content Module that connects and processes an enterprise's entire content estate from every source, system and format, unbundling content such as SCORM into structured components and unifying them into a single AI-readable layer.
- Map Skills AI-powered module that maps content and workforce data to skills frameworks and business priorities, unifying skills data across LMS, HRIS and job frameworks and enabling gap analysis at enterprise scale.
- Signal Quality Module that continuously improves the relevance, discoverability and measurable impact of the content estate by automatically scoring every asset, flagging duplication and driving ongoing optimisation.
- Connect AI Module built on MCP (Model Context Protocol) that exposes the unified skills and content layer to AI agents and enterprise AI systems, enabling real-time access for Copilot, Teams AI, Claude and ChatGPT Enterprise without custom integrations.
Quantifiable outcome
- 50-60% saving on cost per skill
- +5 more outcomes
Companies that use Filtered
Customer profileNamed customers8 records
Segments1 record
Ideal customer profiles1 record
Filtered technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability4 records
Feature4 records
Filtered partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered core.
- MicrosoftcoreDeep integration partnership. Filtered connects to Microsoft ecosystem including Microsoft Copilot, Teams AI. API integration to Microsoft tools. Works within Microsoft environment.
- WorkdaycoreIntegration partnership connecting to Workday HRIS system. Skills data unified across HRIS and other enterprise systems.
- OraclecoreIntegration partnership connecting to Oracle enterprise systems via API.
- SAPcoreIntegration partnership connecting to SAP enterprise systems via API.
- GooglecoreIntegration partnership connecting to Google enterprise tools via API.
- OktacoreIntegration partnership for identity management and single sign-on integration.
- Anthropic (Claude)coreMCP connectivity enabling Claude AI assistant to access enterprise skills and content data in real time.
- OpenAI (ChatGPT Enterprise)coreMCP connectivity enabling ChatGPT Enterprise to access enterprise skills and content data in real time.
Scale indicators6 records
Recent moves6 records
Expansion highlights5 records
Filtered competitors and assessment
Company assessmentBroad incumbents
- Coursera for Business: Enterprise learning content and skills development offering from Coursera. Competes for L&D budget at large enterprises and increasingly pushes into skills-mapping and content curation — areas adjacent to Filtered's remit.
- Eightfold AI: Talent intelligence platform with deep skills-graph capabilities and AI agents for HR. Competes in adjacent territory to Filtered, particularly around skills data unification and AI-driven workforce decisions.
- Workday Learning: Learning module inside Workday's HCM suite. As a core Filtered integration partner, it represents both a partner and an incumbent threat — Workday could embed native skills-intelligence capabilities that compete with Filtered's Map Skills module.
- Microsoft Viva Learning: Microsoft's enterprise learning experience surface within the Viva employee experience platform. Comparable because it sits inside Microsoft Copilot/Teams workflows — the same surface area Filtered connects to via MCP — making it both a partner and a competitive threat.
- Skillsoft: Major enterprise learning content and platform provider. Addresses the same large-enterprise L&D buyer and competes for the same content and skills intelligence budget that Filtered targets.
Emerging players
- iSpring: Enterprise learning content authoring and LMS toolkit with growing AI-driven content processing features. Overlaps with Filtered's Ingest Content module for enterprises standardizing learning content pipelines.
- Sana Labs: AI-native enterprise learning platform that uses LLMs to personalize learning and make content searchable. Targets the same AI-readiness pain point that Filtered addresses, but via a different (front-end personalized learning) approach.
Direct peers
- 365Talents: Skills intelligence and internal mobility platform that maps workforce skills to content and roles. Direct comparable to Filtered's Map Skills module, serving similar enterprise HR/L&D buyers.
- Degreed: Enterprise learning experience platform that unifies L&D content and skills data. Direct competitor to Filtered's learning infrastructure layer, addressing the same large-enterprise buyers with content aggregation and skills intelligence.
- Cornerstone OnDemand: Long-standing enterprise LMS, LXP and talent management suite. Competes head-on with Filtered in large enterprises, and represents one of the incumbent vendors Filtered explicitly positions against.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Filtered social profiles
Digital presenceFiltered compliance and trust
Trust signalCompliance3 records
Filtered financial estimates
Financial estimateRevenue estimate
Valuation estimate
Filtered leadership team
Management profileNumber of profiles
Profiles5 records
Filtered funding detail
Funding detailFunding overview
Funding rounds4 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Filtered 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 Filtered
What does Filtered do?
Filtered Intelligence is an enterprise learning infrastructure platform that connects content, skills data and learning systems into a single structured layer that enterprise AI agents can access and act on in real time via MCP (Model Context Protocol). It consists of four modules — Ingest Content, Map Skills, Signal Quality and Connect AI — and is sold as an annual enterprise software license to large organizations with existing LMS, LXP and HRIS stacks.
Is Filtered a public or private company?
Filtered is a private company. It is classified as venture growth investor backed and is currently operating.
When was Filtered founded?
Filtered was founded in 2009. It employs 11 to 50 people.
Where is Filtered based?
Filtered is headquartered in London, United Kingdom, in the Europe region.
How does Filtered make money?
One revenue line is on record: enterprise Software License.
Who are Filtered's main competitors?
Broad incumbents on record are Coursera for Business, Eightfold AI, Workday Learning, Microsoft Viva Learning and Skillsoft. Emerging players are iSpring and Sana Labs. Direct peers are 365Talents, Degreed and Cornerstone OnDemand.
Does Filtered have an API?
Yes. Filtered Intelligence connects via API to enterprise tools including Workday, Microsoft, Oracle, SAP, Google, and Okta across HRIS, LMS, LXP and content vendor systems. The platform exposes skills and content data through MCP (Model Context Protocol), enabling real-time AI agent access without custom integrations. Content processing uses a self-hosted AI pipeline within the customer's environment.
What industry is Filtered in?
Filtered's product category is Enterprise Learning Infrastructure. Its primary akta.pro industry code is EDAGAEAE, Assessment-Integrated eLearning & Practice Modules, with a secondary code of HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII). Its NAICS code is 518 and its SIC code is 7372.