Enterprise AI & ML,
shipped to production.
Vision Data Analytics partners with US enterprises to design, build and operate machine learning systems that survive real workloads — computer vision, NLP, predictive analytics, and generative AI on Claude, GPT-5 and open-source LLMs.
Trusted by US enterprises & scale-ups
// What we do
The discipline of applied AI, delivered like infrastructure.
AI Roadmaps That Pay Back in Quarters, Not Years
From discovery to production rollout — we run a 4-week diagnostic that prioritizes the use cases with measurable ROI.
Production ML, Not Notebooks
We design, ship and operate models on AWS, GCP and Azure with the MLOps discipline US enterprises require for SOC 2 / HIPAA workloads.
RAG, Agents & Copilots Built to Scale
We build retrieval-augmented systems, internal copilots and customer-facing assistants on Claude, GPT-5 and open weights — with eval suites baked in.
// Capabilities
Full-stack AI capability —
from raw data to live inference.
Six interlocking practices that move you from "we should be doing AI" to a monitored, governed system serving production traffic.
AI/ML Consulting & Strategy
Audits, roadmaps, build-vs-buy, and team enablement for Fortune 1000 data orgs.
Computer Vision
Defect detection, OCR, video analytics, edge deployment.
NLP & LLM Apps
RAG, agents, summarization, semantic search on your data.
Data Engineering
Lakehouses on Snowflake / Databricks. Streaming, dbt, governance.
Predictive Analytics
Forecasting, churn, fraud, propensity. Backed by rigorous eval.
MLOps & Governance
Model registry, drift monitoring, audit trails, fairness.
// Industries
Domain-aware. Built for regulated US sectors.
// Selected work
Measurable outcomes.
Not vanity demos.
Reduced radiology read time by 38%
A multi-state hospital network deployed our CV pipeline for chest-X-ray triage. FDA-aligned, HIPAA, on Azure.
$2.1M analyst-hour savings with an internal copilot
We built a Claude-based research copilot over 4M proprietary documents for a top-50 US asset manager.
Inventory waste down 22% across 1,400 stores
Demand forecasting + replenishment optimization for a US grocery chain. Deployed on Databricks.
// Voices
What it's like to work with us.
We don't sell decks. We sit shoulder-to-shoulder with your team until the system is live, monitored and owned by you.
“They cut our model deployment from quarters to weeks. The first system paid for the entire engagement inside 90 days.”
“Senior engineers from day one. No bait-and-switch. Our internal team is now self-sufficient on the platform they built.”
// Ready when you are
Let's ship the model
that moves the number.
Tell us about the problem. We'll respond inside 24 hours with a senior engineer assigned to your scope.
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