AI Platform
AI infrastructure for teams that can't afford to prototype forever.
The platform layer between your business problems and your LLMs — so you can ship AI that's reliable, observable, and governed.
Building with AI is easy. Building AI that works reliably in production, that you can trust with real data, that your compliance team can stand behind, and that your engineers can maintain — that's the hard part.
AI Platform provides the infrastructure layer: model routing, retrieval pipelines, observability, guardrails, and evaluation tooling, pre-integrated and pre-hardened for enterprise deployment.
What's Included
Model Router
Intelligent routing across model providers based on cost, latency, capability, and compliance requirements.
Retrieval Pipeline
Production-grade RAG infrastructure with chunking, embedding, vector storage, and retrieval evaluation.
AI Observability
Token usage, latency, quality metrics, and cost attribution — across every model call in your system.
Guardrails Engine
Content filtering, PII detection, prompt injection prevention, and output validation.
Evaluation Framework
Automated evaluation harnesses that measure quality across model versions, prompt changes, and retrieval updates.
Enterprise Security
SSO, role-based access, audit logs, data residency controls, and compliance-ready architecture.
AI Platform
The platform layer between your business problems and your LLMs.
Building AI features into production applications requires more than calling an API. You need model routing for resilience and cost management, retrieval infrastructure for your private data, observability to understand what your AI is actually doing, guardrails to prevent the things that would embarrass you, and evaluation frameworks to know whether updates made things better or worse.
What’s Included
Model Router — Intelligent routing across providers with fallback chains, cost budgets, and compliance controls.
Retrieval Pipeline — Production RAG with document ingestion, chunking, embedding, vector search, and retrieval evaluation baked in.
Observability — Every prompt, every completion, every retrieval result — logged, measured, and cost-attributed.
Guardrails — Configurable filters for content, PII, prompt injection, and output validation.
Evaluation — Automated quality measurement that runs on every change, so you know when things get better or worse.
Design Partner Program
We’re accepting design partners now. Contact us to discuss your requirements and timeline.
Frequently Asked Questions
Does AI Platform lock me into specific LLM providers?
No. The model router supports OpenAI, Anthropic, Google, Mistral, and open-source models. You can run multiple providers simultaneously and switch without changing application code.
How does it handle compliance requirements?
AI Platform includes data residency controls, audit logs for every model call, PII detection and redaction, and compliance-ready deployment options including VPC deployment for regulated industries.
What's the difference between AI Platform and building our own infrastructure?
Months of engineering time and the experience of having already made the mistakes. AI Platform is the infrastructure we built for our own clients over dozens of AI engagements — productized and production-hardened.
Get Early Access
Join the waitlist and be among the first to access the platform. Design partners get pricing locked in before general availability.
Join the Waitlist