Self-hosted AI agents trained on your data—delivering persona-aware insights to every stakeholder. Engineering gets technical depth. Support gets troubleshooting clarity. Sales gets competitive positioning. Product gets strategic context. All from your proprietary knowledge, running entirely on your infrastructure.
Customer support answers product questions differently than engineering. Sales explains features differently than product managers. Everyone's working from different versions of truth—because generic AI doesn't understand who's asking or what they need to accomplish.
Using ChatGPT or Claude for internal knowledge means feeding your product roadmap, competitive intelligence, and proprietary architecture to third-party AI providers. For regulated industries and security-conscious companies, that's unacceptable.
Your product knowledge lives in documentation. Your market intelligence lives in spreadsheets. Your competitive analysis lives in slide decks. Your team's expertise lives in Slack threads. Generic AI can't connect these—and you can't feed them to external services.
Engineering ships features weekly. Documentation lags by weeks. By the time technical writers catch up, the product has evolved. Support teams answer with outdated information. Sales demos features that work differently than documented.
Infiwrite deploys custom-trained AI agents on your infrastructure—understanding your codebase, your terminology, your competitive landscape. Same platform, different insights for every stakeholder role.
The same question gets fundamentally different answers based on who's asking. Customer support sees troubleshooting protocols. Product managers see feature specifications and user impact. Engineers see technical architecture and implementation patterns. Sales sees competitive positioning and objection handling. Each stakeholder receives precisely the intelligence they need—because the AI understands not just what to answer, but who's asking and why.
Powered by your proprietary context: Custom-trained on your codebase, documentation, support history, and internal conversations. Not generic LLM knowledge—your specific business intelligence, delivered through your secure infrastructure.
Engineering ships features weekly. Your documentation used to lag by weeks. Not anymore. When features complete, Infiwrite analyzes Jira tickets, code changes, and system context—generating comprehensive documentation across every stakeholder: API specs for engineering, troubleshooting runbooks for support, feature briefs for sales, user guides for customers. Technical writers review for accuracy and publish. What took weeks now takes days.
The intelligence scales: As your product grows more complex, the AI draws from your entire knowledge graph—connecting new features to existing architecture, relating changes to known issues, surfacing dependencies that humans might miss.
Every question asked. Every document accessed. Every search pattern. Infiwrite builds a comprehensive knowledge graph of your business—understanding not just what information exists, but how your team actually uses it. Gap identification through actual usage patterns, not guesswork. Context connections that discover relationships between features, architectural dependencies, and relevant precedents from past projects.
Continuous refinement: Periodic model retraining incorporates new products, updated terminology, evolved architecture. The intelligence stays current as your business grows.
Infiwrite runs entirely on your AWS, Azure, or GCP environment. Your proprietary knowledge never leaves your infrastructure. Your competitive intelligence stays yours. Your models never talk to external AI services.
Not generic LLMs. Your Infiwrite deployment is trained specifically on your codebase, your documentation style, your product architecture, your domain terminology. The intelligence understands your business because it's built from your business.
All AI processing happens within your environment. Your data never transits to external services—not for training, not for inference, not ever. SOC2, GDPR, HIPAA compliant out of the box.
Role-based delivery is configured once during deployment. Same data, different insights for every stakeholder—automatically. Support sees troubleshooting. Engineering sees architecture. Sales sees positioning.
You pay your cloud provider for compute. We charge for platform licenses and periodic model updates. No per-seat fees. No usage-based pricing surprises. Predictable costs as you grow.
See how persona-aware AI agents work with your specific infrastructure, security requirements, and business context. Schedule a technical demo—bring your toughest questions about deployment, compliance, and custom training.