AI conversations are stuck in the past.

Every chat system—from consumer apps to enterprise AI—treats conversations as flat lists:

Message 1 → Message 2 → Message 3 → Message 4 → ...

This breaks down when:

• Topics naturally diverge mid-conversation
• Context gets lost in long threads
• AI needs to remember what was discussed weeks ago
• Users want to understand why the AI responded a certain way
• Teams need audit trails for AI decisions

Flat lists can't scale. Conversations need structure.

DriftOS turns conversations into graphs.

Instead of fighting against how conversations naturally flow, we embrace it:

         Main Topic
            |
    [Discussion A]
            |
            ├──→ [Side Topic] ── Tangent explored
            |         |
    [Back to main]    |
            |    [Resolution]
       [Conclusion] ←─┘ ── Topics reconnect

The result?

• AI that remembers conversations like humans do
• Structure that emerges naturally from semantic meaning
• Explainable decisions backed by conversation history
• Navigation through complex, multi-topic discussions

Your conversations naturally organize themselves:

• Topics branch when discussions diverge
• Related messages cluster together
• Temporal relevance decays over time
• Conversations merge when topics reconnect

No manual organization. No rigid threading. Just natural conversation flow.

Beyond token limits and recency bias:

• Understand what was discussed, not just what was recent
• Find relevant context from days or weeks ago
• Cluster related topics semantically
• Decay old conversations naturally over time

Distance matters. Time matters. Relevance emerges from both.

Your AI assistant remembers like humans do—recent related topics stay accessible, distant tangents fade naturally.

Most systems only understand topics.

DriftOS also understands conversational dynamics:

When someone shifts from asking questions to making plans, or from discussing options to executing decisions—even if the topic hasn't changed—DriftOS detects it.

We track two dimensions:

• What you're discussing (semantic drift)
• How you're discussing it (conversational dynamics)

The result?

• Branches that match how humans naturally think
• Context switches that make intuitive sense
• Structure that reflects conversation flow, not just content

We understand both the content and the conversation pattern.

Every routing decision has a reason:

• "This message went here because..."
• "These topics are related because..."
• "This context is relevant because..."

No black boxes. Full transparency.

Complete audit trails for every decision, suitable for regulated industries and production AI systems.

Built for real-world scale:

• Fast enough for real-time conversations
• Deterministic behavior you can rely on
• Full observability into system performance
• Enterprise-grade reliability

Not a research project. Production infrastructure.

Building assistants that handle complex, multi-topic conversations:

• Customer service bots with context spanning days
• Development copilots that remember your architecture discussions
• Research assistants tracking multiple investigation threads
• Enterprise AI agents requiring explainable decisions

Your AI needs memory that scales beyond prompts.

Providing conversation state management for:

• Multi-agent frameworks coordinating complex tasks
• Tool orchestration systems routing to appropriate contexts
• AI application platforms serving thousands of users
• Conversation analytics and insight engines

Give your users conversation graphs, not flat logs.

Adding intelligence to communication platforms:

• Automatic topic threading that actually works
• Smart context retrieval from long histories
• Conversation summarization that preserves structure
• Knowledge base generation from organic discussions

Turn unstructured chat into structured knowledge.

Meeting compliance and governance requirements:

• Complete audit trails for AI decisions
• Explainable conversation routing for regulatory compliance
• Deterministic system behavior for reproducibility
• Multi-tenant isolation for data security

AI you can trust in regulated environments.

High-level architecture:

Your Application
       ↓
   DriftOS Engine ──→ Conversation Graph
       ↓
   Rich Context for AI

What DriftOS handles:

• Detecting when topics diverge (semantic)
• Recognizing when conversation patterns shift (functional)
• Organizing messages into semantic clusters
• Managing temporal decay of relevance
• Routing new messages to appropriate contexts
• Maintaining explainable decision trails

What you build:

• Your AI application
• Your user experience
• Your business logic

We handle the conversation infrastructure. You handle the product.

Modern, production-grade stack:

• TypeScript-first architecture
• Enterprise database systems
• Real-time observability and metrics
• Cloud-native deployment

Designed for:

• Sub-second response times
• Horizontal scalability
• Multi-tenant isolation
• 99.9% uptime SLA

Product:

• ✅ Core engine production-ready
• ✅ Patent filed (70+ USPTO claims, provisional)
• ✅ Validated at scale
• ✅ Full observability stack operational
• 🚧 Preparing commercial launch

Company:

• 📍 Based in London, UK
• 🚧 Seed funding round (Q1 2026)
• 🚧 Building design partner program
• 🚧 Expanding patent portfolio

Q1 2026: Private beta with design partners
Q2 2026: Public API release
Q3 2026: Enterprise SaaS launch
Q4 2026: Multi-modal support (text, images, code)

2027 & Beyond:

• Real-time collaborative graphs
• Advanced analytics and conversation insights
• White-label deployment options
• Integration marketplace

We're looking for:

Early customers who will shape the product:

• AI product teams with complex conversation needs
• Platforms requiring conversation infrastructure
• Enterprise teams needing explainable AI

Benefits:

• Early access (Q1 2026)
• Direct input on product roadmap
• Preferential pricing
• Dedicated technical support

Raising seed round (Q1 2026):

• ✅ Strong patent portfolio (70+ claims filed)
• ✅ Production-ready technology
• ✅ Clear path to market
• ✅ Experienced founding team (ex-Antler, IBM, Government)
• ✅ UK Global Talent Visa approved

Target markets:

• AI infrastructure ($40B+ market)
• Enterprise AI ($150B+ by 2027)
• Messaging platforms ($60B+ market)

Contact: hello@driftos.dev

Research partnerships and integrations:

• AI labs and research institutions
• Developer tool companies
• Enterprise AI platforms
• Academic research programs

Building a world-class team in London:

• Senior Backend Engineers (TypeScript/Node.js)
• ML Engineers (NLP/Vector Search)
• Product Engineers (Full-stack)
• DevOps/Platform Engineers

Interested? hello@driftos.dev

AI conversations are exploding in length:

• GPT-4 Turbo: 128K token context
• Claude: 200K token context
• Gemini: 1M+ token context

But more tokens ≠ better memory.

The problem:

• Linear context doesn't scale
• Semantic search alone isn't enough
• Users need explainability
• Enterprises need determinism

You need structure, not just capacity.

DriftOS provides the infrastructure layer that makes long-form AI conversations actually work.

Why not just use vector search?

• Vector search finds similar content
• DriftOS understands conversation structure

Why not just use RAG?

• RAG retrieves documents
• DriftOS maintains living conversation graphs

Why not build it ourselves?

• You could (we did!)
• Takes 12+ months of R&D
• Requires deep NLP + graph expertise
• Patent risks without proper IP

We've done the hard work. You focus on your product.

Protected innovations:

• 70+ patent claims filed (USPTO provisional)
• Core technology proprietary and patent-protected
• Novel approaches to drift detection and graph formation
• Unique temporal decay and clustering algorithms

Licensing:

• Commercial licenses available for enterprise
• Strategic partnerships for platforms
• Academic research licenses available

We're serious about protecting our innovations while building an open ecosystem.

Founder Background:

• Ex-Technical Product Manager @ Antler
• Scaled Launch Academy to 10K users in 9 months
• Ex-IBM, Consulting, Government

Ready to learn more?

📧 General: hello@driftos.dev
💼 Partnerships: scott@driftos.dev
🌐 Website: driftos.dev
📍 Location: London, United Kingdom

Currently seeking:

• Design partner customers (AI product teams)
• Strategic seed investors
• Technical partnerships (AI platforms)
• Founding team members (London-based)

Want to follow our progress?

• 🔔 Waitlist: Email hello@driftos.dev with "Waitlist"
• 🐦 Twitter: Coming soon
• 💼 LinkedIn: [Company page coming soon]
• 📝 Blog: Technical deep-dives coming Q1 2026