AI Engineering Consultancy

Production AI for enterprises that can't afford to experiment.

Crystall builds multi-agent systems and ML infrastructure that ship to production inside Fortune 500 enterprises. We don't run pilots. We deploy systems that survive real load.

10+YRS
Avg team experience in AI/ML
100%
Production deployments, not pilots
F500
Enterprise clients shipped to
04
Industries served
What we build

Two practices. Both ship to production.

[01 / SVC]

AI Agents Development

Multi-agent systems, autonomous workflows, and agentic RAG pipelines with human-in-the-loop orchestration. Production deployment on AWS and Azure — scoped, built, and shipped by the same engineers.

  • Multi-agent architecture design
  • Agentic RAG pipelines
  • Tool-use & function calling
  • Evaluation & observability
  • MCP server development
[02 / SVC]

Data & ML Engineering

Production ML pipelines, model deployment, MLOps, and the analytics infrastructure that makes data AI-ready. Built for systems that need to run, not demos that need to impress.

  • ML pipeline design
  • Feature engineering & infrastructure
  • Model deployment & monitoring
  • Data architecture for AI
  • Marketing mix modeling & advanced analytics
Selected work

Production AI, shipped.

Each engagement is a system running today — not a pilot, not a memo.

01 / 05 [CPG / CONSUMER GOODS]

Multi-agent system for sales order opportunity detection.

An agentic workflow that surfaces revenue opportunities across thousands of accounts in real time, integrated into a Fortune 500 CPG's existing sales motion.

Deployed to production at a Fortune 500 CPG
02 / 05 [HEALTHCARE]

HIPAA-compliant AI companion for Health care.

Designed and architected a multi-agent healthcare companion integrating with clinic EMR systems, with end-to-end PHI handling and audit.

Full HIPAA-compliant reference architecture on AWS
03 / 05 [ENERGY / OIL & GAS]

Automated IT provisioning across AD, M365, and Azure.

Replaced a 17-step manual provisioning workflow with an automated pipeline using PowerShell, Microsoft Graph API, and selective AI assist.

Hours of IT ops collapsed into minutes per onboarding
04 / 05 [EDUCATION]

AI engineering report validation agent.

An autonomous agent that validates engineering documentation against project milestones, flagging gaps and producing reviewer-ready summaries.

Shipped as a reusable internal tool
05 / 05 [RETAIL / MARKETING ANALYTICS]

OptMix: agentic Marketing Mix Modeling for $24B+ retail.

A multi-agent framework that automates Marketing Mix Modeling end-to-end — from data ingestion to model selection to media spend recommendations — for one of the largest retailers in Latin America.

Deployed in a $24B+ revenue retail operation
Our approach

We don't sell pilots. We ship systems.

01 / PRINCIPLE

Production-first

Every engagement targets a system running in production, not a slide deck. We define success by what ships and survives real load.

02 / PRINCIPLE

Senior-only delivery

No junior staffing pyramids. The engineer scoping your project is the engineer building it, end to end.

03 / PRINCIPLE

Agentic by default

We specialize in multi-agent and agentic AI. When the right answer is a simpler ML pipeline, we build that too — but agentic design is in our DNA.

Team

Built by senior
AI engineers.

Crystall is delivered by a senior team with 10+ years of AI and ML experience, trained at firms like EY and institutions like Columbia University. We don't staff projects with juniors. The people who scope your engagement are the people who ship it.

EX-EY COLUMBIA UNIVERSITY 10+ YRS AI/ML F500 DELIVERY
Get in touch

Ready to ship production AI?

Book a 30-minute discovery call. No decks, no fluff — we'll talk about what you're trying to build and whether we're the right team to build it.

Book a discovery call