AI & ML Services

Ship intelligence, not experiments

LLM integration, RAG assistants, chatbots, computer vision, predictive analytics, and MLOps — designed, evaluated, and shipped for production, not left stranded in a notebook.

OpenAI · Anthropic · Gemini · open-sourceProduction-grade evalsYour data stays yours
RAG assistants

Answers grounded in your knowledge

Retrieval-augmented generation wires your documents into the model — every answer cites its sources, so nothing is hallucinated.

Documents

Chunk & embed

Vector DB

12 ms

Retrieve

LLM

180 ms

Grounded answer

Retrieve · top matchescosine similarity
policy-handbook.pdf §4.2
0.94
onboarding-guide.pdf §1.8
0.89
sla-terms.pdf §3.1
0.82
Predictive & vision

Models that see and forecast

Beyond text — forecast demand, catch anomalies, and inspect images with the same production rigor and monitoring.

Forecast

Demand forecast

Actual vs. predicted · 8 weeks

Actual Predicted
anomaly
MAPE 4.2%next 30d +18%1 anomaly flagged

Vision QC

Defect detection · part #A-2049

scratch · 96%
scratch
96%
dent
88%
pass
3%
What we build

From prompt to production ML

One team across the full AI lifecycle — so data, models, guardrails, and the product experience stay in lockstep.

LLM integration

Multi-provider routing with automatic fallback across OpenAI, Anthropic, and Gemini.

RAG & knowledge assistants

Chat with your docs — vector search, chunking, and answers with real citations.

Chatbots & copilots

Support bots and in-product assistants that resolve, deflect, and hand off cleanly.

AI agents & automation

Tool-calling agents and document pipelines that run multi-step work end to end.

Computer vision

Classification, object detection, OCR, and visual QC for images and video.

Predictive analytics

Demand and churn forecasting plus anomaly detection on your time-series data.

Recommendation systems

Personalization and ranking that lift engagement, retention, and basket size.

Data engineering

ETL/ELT pipelines, warehouses, and feature stores that keep models fed and fresh.

MLOps & deployment

Model serving, versioning, monitoring, and drift detection in production.

Fine-tuning & evaluation

Custom models, eval harnesses, and prompt optimization measured against a baseline.

Responsible AI & guardrails

Safety filters, PII redaction, and bias & explainability checks built in.

BI & analytics dashboards

Turn model output into decision-ready visuals your team can act on.

How we work

From use case to reliable model

An evaluation-driven path — we prove value early and only ship what clears the bar for accuracy, safety, and cost.

01

Discover

Use-case triage, data audit, and a hard-nosed feasibility & ROI read before any build.

02

Prototype

Rapid model and prompt experiments with offline evals — a go/no-go call in weeks, not quarters.

03

Build

Integrate into your product — pipelines, RAG, APIs, and the UI users actually touch.

04

Evaluate & harden

Accuracy and safety evals, guardrails, and tuning for cost and latency at scale.

05

Deploy & monitor

MLOps, drift detection, continuous evaluation, and retraining as your data shifts.

Tech stack

The stack we build on

Providers
OpenAIAnthropicGemini
Frameworks
LangChainPyTorchTensorFlow
Language
Python
Data
Vector DBs
Who we build for

Applied AI for every industry

From regulated enterprises to fast-moving product teams shipping intelligent features.

Customer support & CX

Copilots and deflection bots that cut resolution time and lift satisfaction.

Healthcare & diagnostics

Clinical document search and imaging assistance with safety and privacy first.

Legal & compliance

Contract review, clause extraction, and policy Q&A grounded in your corpus.

E-commerce personalization

Search, recommendations, and ranking that grow conversion and order value.

Manufacturing

Visual QC and defect detection on the line to catch issues before they ship.

Finance

Fraud detection, forecasting, and anomaly monitoring on high-stakes data.

No matter the project

Included in every engagement

UI/UX design
QA & automated testing
Discovery & consulting
Security review
Docs & handover
Maintenance & support
Engagement modelsFixed-scope project·Dedicated team·Retainer & support

Ready to put AI into production?

Bring us a use case and we'll pressure-test feasibility, evals, cost, and latency before a line of product code — then ship it with guardrails. Or request an AI feature for an existing product.

Fast turnaround
Security-first approach
Dedicated support
Production-ready delivery

Need help with an existing product, or want a brand-new one? Either link works.