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.
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.