AI & Machine Learning

Production AI, engineered to ship.

LLM features, agents, retrieval systems, and ML — built with evaluation harnesses, latency budgets, and cost guardrails from day one. Not demos.

01The Problem

Most AI demos never survive production.

Notebooks, hallucinating pipelines, and prompt hacks duct-taped together. We engineer for reliability before the first line of model code is written.

02The Method

Grounded in your data, measured before it ships.

Every feature ships with an eval harness. Success metrics are defined up front, then iterated against — not against vibes. Retrieval is benchmarked, not hoped.

03The Result

AI that compounds, not collapses.

Prompt version control, drift monitoring, and A/B rollout built in. Your AI gets measurably smarter in production — and we stay on until the metrics prove it.

Pipeline — ActiveEval — Running
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01What we build

Everything you need to ship
real AI — under one roof.

S1

Custom LLM Features

Chatbots, copilots, semantic search, and content generation wired directly into your product.

CopilotsSemantic searchSummarization
S2

AI Agents & Automation

Autonomous, tool-using agents that execute multi-step workflows and automate operations end to end.

Tool-useWorkflowsOrchestration
S3

RAG & Knowledge Systems

Retrieval pipelines and vector search that ground models in your private data — no hallucinations.

Vector DBsRetrievalGrounding
S4

Machine Learning Models

Custom predictive, recommendation, forecasting, and computer-vision models trained on your data.

PredictionRecommendationVision
S5

AI Integration

Drop intelligence into the tools you already run — APIs, CRMs, support desks, and internal apps.

APIsCRM / ERPInternal tools
S6

MLOps & Evaluation

Eval harnesses, monitoring, drift detection, and CI/CD so your AI stays reliable in production.

Eval harnessMonitoringCI/CD
3–6wk
To first prototype
100%
Features ship eval-backed
24/7
Drift & quality monitoring
Iterations until it works
02How we work

From idea to production
in five deliberate steps.

01Discover

We map the problem, your data, and success metrics before touching a model.

02Prototype

A working proof-of-concept in weeks, tested against real inputs — not slideware.

03Evaluate

Every output measured against an eval harness: accuracy, latency, and cost.

04Ship

Hardened, integrated, and deployed into your production stack with guardrails.

05Monitor

Drift detection and continuous evals keep it improving long after launch.

Built on the tools that matter
OpenAIAnthropicLlamaLangChainLlamaIndexvLLMPyTorchTensorFlowPineconepgvectorHugging FaceRay
Ready to ship?

Turn your AI idea into production reality.

From a discovery call to a fully deployed intelligent product — we move fast and build things that last.