AI Systems That Show Their Evidence

We build production AI systems that turn documents, operational data, and domain expertise into tools your team can trust and audit — from cited document assistants to diagnostic copilots.

What We Build

Production AI systems for teams with high-value knowledge trapped in documents, data systems, or manual workflows

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Cited Document Assistants

AI systems that answer questions from your document corpus with full source citations. Every answer traces back to a specific document, section, and page.

Includes:

  • Retrieval-augmented generation (RAG)
  • Citation enforcement at the architecture level
  • Source transparency for every answer
  • Confidence scoring and uncertainty handling
  • Evaluation suites for answer quality
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Operational Data Intelligence

AI systems built on top of equipment telemetry, event logs, and operational data. Centralize fragmented data sources and add diagnostic intelligence that shows its evidence.

Includes:

  • Data ingestion and normalization platforms
  • AI-assisted diagnostic copilots
  • Evidence-backed fault analysis and ranking
  • Historical case retrieval and pattern matching
  • Trend monitoring and proactive alerting
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AI Strategy & Architecture

Strategic assessment and architecture design for organizations evaluating where AI creates real value — whether the data lives in documents, operational systems, or both.

Includes:

  • Data and document corpus assessment
  • Build vs. buy analysis
  • Architecture recommendations
  • Vendor evaluation
  • ROI projections and risk analysis
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Team Enablement

Your team gets the training and documentation to understand the system — whether we run it for you or hand it off completely.

Includes:

  • Technical workshops and pair programming
  • System documentation and runbooks
  • Evaluation and monitoring training
  • User training and onboarding
  • Ongoing knowledge transfer as the system evolves
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Managed AI Operations

We don't just build your system and leave. We host, monitor, and support it so your team focuses on using the tool, not operating it.

Includes:

  • Hosting, uptime monitoring, and incident response
  • Model lifecycle and prompt maintenance
  • Bug fixes and ongoing support
  • Quarterly performance reviews and optimization
  • Data quality monitoring and drift detection

How to Engage

Three stages, each with clear deliverables. Every decision is small and reversible — you never have to commit to more than one stage at a time.

Start Here
1

Discovery

2-3 weeks | Fixed fee

We assess your documents, workflows, and use cases. You get a clear recommendation: build, buy, or wait — with an ROI case.

Deliverables:

  • Workflow and use case assessment
  • Document and data review
  • Build vs. buy analysis
  • Architecture recommendation
  • Risk and issues list
  • Pilot scope with timeline and budget
  • ROI hypothesis
2

Build

4-8 weeks | Fixed scope

One use case. One corpus. One team. Measurable success criteria defined upfront so you know exactly what you're getting.

Deliverables:

  • Production-ready AI assistant
  • Citation and source enforcement
  • Evaluation suite and quality metrics
  • Team training and documentation
  • Performance benchmarks vs. baseline
3

Managed Operations

Ongoing monthly

We host it, monitor it, support it, and improve it. You use it. Teams with internal AI ops capability can opt for full handoff instead.

Deliverables:

  • Hosting, monitoring, and uptime management
  • Model lifecycle and prompt maintenance
  • Bug fixes and ongoing support
  • Quarterly reviews and optimization
  • Optional: new corpus and use case expansion

Built for Knowledge-Intensive Industries

Our architecture works with any structured data — documents, equipment telemetry, or operational records

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Pharma & Biotech

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Manufacturing

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Maritime & Marine

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Legal & Compliance

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Healthcare

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Field Service & Equipment

Production-Grade Technical Foundation

Not a prototype — systems built for reliability, auditability, and scale

Evidence Enforcement

Every output traces to specific sources — document sections, event log entries, or historical cases. Built into the architecture, not bolted on.

Evaluation Suites

Automated testing against golden datasets. Catch quality regressions before users do.

Logging & Observability

Full interaction logging, latency monitoring, and quality tracking for audit and optimization.

Rate Limiting & Controls

Per-user and global rate limiting, content filtering, and access controls for enterprise deployment.

Not Sure Where to Start?

Tell us what's taking too long or where your team is stuck. We'll give you an honest take — buy, build, or do nothing.

Describe Your Challenge