Kontext, co-founded by Andrej Kiska, has successfully raised $10 million in seed funding, led by M13, with strong backing from Torch Capital, Credo Ventures, and Parable VC. This new infusion brings the total capital raised to over $15 million, powering an AI-driven platform designed to transform how enterprises search, understand, and act on their documents, policies, and institutional knowledge.

At its core, Kontext delivers a semantic search and summarization engine tailored for professional environments - where accuracy, context, and explainability matter more than flashy generative responses.

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From Static Search to Guided Knowledge Discovery

Knowledge workers spend nearly 20% of their time searching for information. Generic search engines fall short because they lack context and domain-specific understanding. Kontext solves this by transforming raw documents into embeddings enhanced with organizational taxonomy, glossaries, term hierarchies, and domain intent. Users can then ask questions in natural language - like “what are the termination clauses under EU GDPR for vendor agreements?” - and receive precise, contextually anchored answers with full transparency.

Rather than rely on generic AI that offers broad but shallow responses, Kontext enables users to query, get answers, and drill into the source material - all within a secure enterprise environment.

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Founder Insight: Build Value That Learns with You

There’s a strategic founder insight embedded here: the formula for a lasting AI product is simplicity in UX, complexity in impact - but only if that complexity solves pain immediately.

Kontext has built its UI around a single search box and follow-on click-to-explore functionality. But under the surface lies a rich semantic model that gets smarter as it sees more queries, taxonomy updates, and enterprise feedback. Users aren’t just searching - they’re teaching the system their unique enterprise language. That emergent insight becomes priceless.

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Investor Confidence: Focused, Expert Backing

The investor lineup speaks volumes:

• M13 brings experience scaling deep-value, developer-focused products.
  
• Torch Capital doubles down on AI-powered enterprise solutions.
  
• Credo Ventures brings extensive European early-stage expertise.
  
• Parable VC champions founder-first, impact-aligned companies.
  

This strategic syndicate doesn’t just provide cash - they provide credibility, strategy, and network that are critical for breaking into global enterprise markets.

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Expanding Capabilities with Seed Capital

With this round, Kontext will invest in:

1. Model optimization  -  fine-tuning language models to capture domain nuance and reduce hallucinations.
   
2. Deep integrations  -  Plug-ins for Salesforce, Microsoft Teams, Google Workspace, Slack, SharePoint, and CRM systems.
   
3. Enterprise trust features  -  audit trails, redaction, compliance-ready explainability.
   
4. Customer success expansion  -  ensuring frictionless onboarding, willingness to pay, and advocacy-led growth.
   
5. Ontology collaboration tools  -  allowing clients to co-design, validate, and version their enterprise knowledge ontologies.
   

Each of these investments amplifies both adoption and retention - building a moat that combines tech, content, and trust.

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Real Enterprise Impact

Early adopters at professional services firms, financial institutions, and healthcare providers report:

• 35–50% faster response time to client queries.
  
• Major reduction in compliance risk when retrieving regulatory details.
  
• Users experiencing more confidence in documentation - leading to higher client trust.
  

These are not aspirational metrics - they reflect real-world operational improvements, and that kind of ROI gets CFOs excited quickly.

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Why This Market Needs Semantic AI

A deep dive into macro trends:

• The enterprise knowledge management market, including enterprise search, collaboration tools, and record management, is projected to exceed $35 billion by 2028.
  
• A Gartner study indicates over 60% of organizations are investing in AI to drive productivity across knowledge work.
  
• In regulated industries, the cost of non-compliance and document misinterpretation now runs into hundreds of millions per year.
  

Kontext sits at the intersection of these needs: delivering AI that isn’t just about automation, but about accurate, explainable understanding - and that kind of clarity opens new cost-saving and risk-mitigation pathways.

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Integration = Adoption = Insight Growth

What gives Kontext a structural advantage is integration. By embedding into day-to-day collaboration tools, Kontext becomes part of the operational fabric - spotlight in Slack, search bar on Salesforce, summaries inside Teams. That low-friction distribution drives usage.

And the more usage, the richer the enterprise knowledge graph becomes - creating a virtuous cycle of insight. Contextual relevance improves, user trust deepens, and data becomes strategic.

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The Founder's Callout: Timing + Product = Compounding Advantage

Here’s a high-leverage founder lens: the gap between product readiness and investor confidence narrows when your product solves emergent enterprise pain in a visceral way. Kontext buyers aren’t picking new tech - they’re avoiding knowledge chaos.

By aligning a product that moves the needle today with strategic capital that opens global doors, founders can compound adoption faster than chasing new verticals alone.

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Market Tailwinds and Why Now Is Right

Supply chains are noisy, regulations are complex, and remote/hybrid work has elevated internal knowledge as a critical asset. From legal to R&D, teams need clarity in context - something traditional search tools fail to surface.

Add firm mandates on GDPR, HIPAA, environmental disclosure, and the need for internal knowledge traceability, and you’ve got a perfect storm. Enterprises need knowledge that can talk back, and Kontext is answering that call.

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Final Thoughts

Kontext’s $10M seed round, backed by M13, Torch Capital, Credo Ventures, and Parable VC, is so much more than financial fuel - it’s a clarity moment for enterprise search and AI. The startup’s focus on semantic depth, trust-built integration, and operational ROI sets it apart.

For founders, here’s the take: win trust by solving meaningful pain at velocity. If you enable high-value decisions through deep insight, your product becomes mission-critical - and that’s how long-term value gets built.