Build, evaluate, and ship LLM systems in production.
We design and implement AI systems end to end — from RAG and agents to MCP servers and cloud infrastructure on AWS and Azure. Grounded, observable, and cost-governed from day one.
Production, not prototypes
Evals gating every change
Cloud-native, private by default
// Grounded answer with retrieval + citations
const answer = await chat.ask({
query: "What medications am I currently taking?",
user: patient.id,
scope: { permissions: "own_records_only" },
retrievers: ["ehr", "notes", "labs"],
evaluators: ["faithfulness", "pii_leak", "refusal"],
})
// -> { text, citations, trace_id, cost_usd, latency_ms }Our trusted friends
Numbers from systems in production.
One team for the whole AI stack.
From the first prompt to the production runbook. Pick a capability, or combine them into a full solution.
Conversational AI
Grounded chat over your data with citations, memory, and guardrails.
RAG Systems
Ingestion, hybrid retrieval, reranking, and generation tuned to your corpus.
History Intelligence
Turn session logs into intent analytics, alerts, and product signal.
Agents & Automation
Tool-using agents that act across your systems with human-in-the-loop.
Document Intelligence
Extraction, classification, and summarization pipelines at scale.
Cloud AI Infrastructure
Production AI on AWS, Azure, and GCP — private, observable, cost-governed.
MCP Servers
Custom Model Context Protocol servers for Claude, Cursor, and any MCP client.
Voice AI & Realtime
Sub-second realtime voice agents with grounded responses and tool calls.
Fine-Tuning
SFT, LoRA, and DPO on Bedrock, Azure, and Vertex with eval-driven iteration.
Multimodal & Vision
Vision-language pipelines for images, charts, screens, and video.
Evaluations
Audit and harden existing LLM workflows: quality, cost, latency, safety.
A production RAG pipeline.
Click a stage to see the code behind it.
Connect to your docs, tickets, warehouse, and databases. Versioned ingestion pipelines re-embed only what changed.
// Versioned ingestion with source-version tracking
export async function ingest(source: Source) {
const docs = await source.fetchSinceLastRun()
for (const doc of docs) {
const chunks = chunk(doc, {
strategy: source.strategy, // semantic | fixed | layout
size: source.chunkSize,
})
await embed(chunks, {
model: "voyage-3",
cache: true,
version: source.embeddingVersion,
})
}
}What we build in practice.
Real patterns from shipped systems. Healthcare chat over patient data, coaching intelligence, internal copilots, and more.
Patient data mapping & health information chat
Canonical patient data model, permission-scoped retrieval, and HIPAA-aligned private endpoints — so patients can ask questions about their own records, safely.
Session intelligence & program updates
Turn coach session notes into structured progress signals, next-step recommendations, and agent-proposed program updates with human approval.
Knowledge copilots over your docs and data
Hybrid retrieval, reranking, and citation-grounded answers over Confluence, Notion, Drive, and your warehouse.
Cloud AI infrastructure on AWS & Azure
Private LLM endpoints, secrets, observability, cost controls, and CI/CD for prompts and models. Compliance-ready foundations.
Already have an LLM workflow? We’ll prove whether it’s working.
We audit existing systems for retrieval quality, faithfulness, safety, cost, latency, and drift — then fix the top issues and wire evals into CI so they stay fixed.
Explore evaluationsThe tools we use — and why we pick them.
We work across model providers, orchestration, vector stores, evals, and cloud platforms. We pick the stack that fits your constraints, not ours.
How we engage.
Discovery
We map your data, workflows, and constraints. We agree on what "good" looks like in measurable terms.
Architecture
We design the system — retrieval shape, model routing, infra, guardrails — and the eval plan that proves it.
Build & Evaluate
We implement in iterations gated by evals on your data, not vibes or vendor demos.
Ship & Harden
We deploy to your cloud, wire observability and cost controls, and hand off with runbooks.
Fixed-price, production-shaped prototype of your AI idea in a single weekend.
VPC-isolated inference, scoped keys, audit trails. HIPAA and SOC 2 scaffolding on request.
100+ projects delivered. We’ve shipped real systems with real traffic.
“We were able to scale our tech operations with a fraction of the cost and time it would have taken to build in-house.”
Ready to accelerate your tech growth?
Schedule your free consultation today and let's discuss how we can help your business scale efficiently.
