WE DEPLOY PRODUCTION-READY AI SYSTEMS THAT YOU OWN INDEFINITELY. NO RENTED SEATS, NO VENDOR LOCK-IN, JUST RAW CAPITAL ASSETS.
Map your operational search leaks and technical constraints in 60 minutes.
2–4 weeks to deploy a live retrieval system wired into your CRM and docs.
Ongoing signal tuning and technical monitoring for your private AI engine.
Sovereign Persistence: Every intelligence layer is deployed into your existing cloud infrastructure (GCP, AWS, or Azure). We leverage high-concurrency vector stores (Citus Sharded pgvector, HNSW via pgvectorscale) and Dagster-driven orchestration (DAGs) to transform institutional knowledge into a permanent, version-controlled repository asset. No brittle no-code workarounds.
We built a private RAG engine that synthesizes 500+ pages of Stripe OpenAPI specs into executive strategies and ready-to-sprint Jira tickets. We can deploy this same intelligence for your internal knowledge base.
Explore the Architect DemoWe don't ignore schemas or folder structures; we build pipelines that manage them.
We connect to live systems (CRM, Google Drive, field apps) using APIs or approved connectors to pull records that power your workflow.
We parse PDFs, run OCR on scans, and normalize fields so data from CRM and docs fits a consistent structure.
Content is broken into semantic chunks, embedded, and stored in a vector index with metadata pointing back to original systems.
Staff ask questions via Slack or a custom UI and get answers grounded in your live, underlying records.
Architecture implies choice. We choose models based on cognitive load, data-plane latency, and long-term sovereignty—never hype.
Defines how your AI system encodes context and meaning across unstructured data. This is the cornerstone of retrieval accuracy and generalization.
We decouple reasoning from knowledge. Switch models—or vendors—without re-indexing your data as the cognitive frontier moves.
A closed-feedback QA system that enforces provenance and factuality. Integrity is a function, not an opinion.
Wait for whether an internal AI retrieval system is actually worth building for ONE specific workflow. A 45–60 minute paid technical discovery, credited to the build.
We take the workflow from the Audit and turn it into a production-ready loop wired into your real CRM, SaaS, and document tools.
Internal engineers are expensive. Stewardship keeps your system alive as APIs change, folder structures drift, and schemas evolve.
// YES. You own the Capital System as an asset. All code, keys, and documentation are transferred to you. We believe in Sovereignty: blocks of code you control, not rented platform features.
// ARCHITECTURE. It is a Capital System architecture composed of retrieval, signals, and automation loops. You pay for the underlying infrastructure (cloud hosting, LLM tokens) directly.
// TRANSITION. We provide a 30-day warranty. Most partners transition to a Stewardship Retainer for ongoing monitoring, signal tuning, and extending the architecture.
Start with a paid Infrastructure Audit. We’ll map the manual search leaks in your core workflow and provide a clear 1–2 page technical plan for the build.
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