Our services
We focus on the hard parts of shipping AI: getting complex systems to work reliably, proving that they do, and keeping them compliant.
-
Multi-Agent Systems
We design and build multi-agent systems that plan, use tools and coordinate reliably, with the guardrails and observability that production demands.
Ideal for: Teams with an agent prototype that needs to hold up under real users, messy inputs and production traffic.
Key deliverables
- A production-ready multi-agent system integrated with your tools and data
- Guardrails, fallbacks and human-in-the-loop controls where they're needed
- Tracing and cost dashboards that show what every agent is doing
-
AI Evaluation Infrastructure
We build evaluation infrastructure that measures the quality, safety and cost of your AI products, so every release is backed by evidence.
Ideal for: Teams shipping LLM features who need to prove quality and catch regressions before their customers do.
Key deliverables
- Curated, versioned evaluation datasets that reflect real usage
- Automated graders calibrated against human judgment
- Regression gates that block releases which lower quality or raise risk
-
Compliance Infrastructure
We build infrastructure that checks and enforces compliance across your AI systems, from policy rules and audit trails to automated reporting.
Ideal for: Companies in regulated or enterprise markets that must demonstrate how their AI systems behave.
Key deliverables
- Automated policy checks on inputs, outputs and data usage
- Tamper-evident audit trails for model and agent activity
- Monitoring and alerts for policy violations and unusual behavior
-
Document Intelligence & NLP
We turn contracts, filings, reports and other complex documents into structured, searchable knowledge using AI-augmented NLP pipelines.
Ideal for: Organizations whose critical knowledge is buried in contracts, filings, reports or scanned documents.
Key deliverables
- Accurate structured data extracted from your documents, with confidence scores
- Search and question answering grounded in cited source passages
- Review tooling that routes uncertain cases to people
-
Model Finetuning
We improve model performance on your tasks through careful finetuning, from data curation and training to evaluation and deployment.
Ideal for: Teams whose general-purpose models fall short on domain accuracy, latency or cost.
Key deliverables
- A finetuned model with measured gains on your own tasks
- A reproducible training pipeline and versioned datasets
- Side-by-side comparisons of quality, latency and cost
How our services fit together
Each service stands on its own, but they're designed to work together across the life of an AI product. Many clients start with one and add others as their needs grow.
-
Build
We design the multi-agent system that does the work, with tools, guardrails and observability built in.
-
Ground
We connect it to the knowledge in your documents, so its answers are accurate and traceable to sources.
-
Measure
We build the evaluations that prove the system works and catch regressions before every release.
-
Govern
We enforce your policies in code and keep the audit trail that customers and regulators expect.
-
Improve
When off-the-shelf models fall short, we finetune them for better accuracy, speed and cost.