Production RAG: run evals before you ship to customers
Retrieval quality, citation coverage, and regression suites matter more than model choice. Here is the eval ladder we use before any copilot touches production traffic.
What we build
AI & ML services for production systems
Eight focused capabilities under AI/ML Transformation. Hover any item to see deliverables, tooling, and how we engage.
Technology stack
Behind every intelligent solution lies a powerful technology stack
We implement production-grade AI tooling across automation, models, data, and operations—aligned with your cloud standards and compliance requirements.
How we deliver
From discovery to production AI—without the guesswork
We treat AI/ML like product engineering: clear use cases, measurable evals, and systems your team can operate. Every engagement pairs senior ML engineers with your stakeholders so pilots become durable capabilities—not orphaned demos.
Use-case discovery tied to business KPIs
Golden datasets & eval gates before launch
Guardrails, access control & audit trails
MLOps, monitoring & handoff to your team
Industries
Where AI/ML transformation delivers the most value
Regulated, data-rich, and operations-heavy sectors need production-grade AI—not generic copilots. We adapt retrieval, models, and guardrails to your compliance bar and existing systems.
Healthcare & Life Sciences
HIPAA-aware copilots, clinical workflow AI, and document intelligence—with audit trails and human review where it matters.
Financial Services
Governed LLM features, KYC/AML automation, and risk models integrated with your core banking or fintech stack.
Logistics & Operations
ETA prediction, dispatch copilots, and BOL OCR—connected to TMS, WMS, and live operational dashboards.
SaaS & Tech
In-product RAG, AI features with evals and observability, and guardrails so releases stay shippable at scale.
Retail & E-commerce
AI search, ranking, and support deflection tied to catalog, inventory, and order data across web and mobile.
Education
Tutoring assistants, content tools, and admin automation with FERPA-aware access and human oversight built in.
Public Sector
Citizen-facing copilots, case-file document AI, and workflow automation built for accessibility, audit, and gov-grade security.
Manufacturing & Industrial
Predictive maintenance, quality vision, and supply-chain copilots connected to MES, ERP, and shop-floor telemetry.
AI Solutions
AI & ML programs we've delivered
Representative work across copilots, document AI, automation, and production ML—with eval gates and handoff your team can run.
Coin Keeper
Crypto App
CryptoWrex
Ecommerce Banking App
Nostradamus Tips
Smarter Crypto
Social Gold App
Coin Keeper
Nostradamus Tips
Crypto App
Smarter Crypto
CryptoWrex
Social Gold App
Ecommerce Banking App
Process we follow
A step-by-step path to production AI
A delivery rhythm you can plan around. We keep one accountable squad and clear eval gates from week one so pilots become systems your team can operate.
Discover & align
Map workflows, data contracts, and KPIs—plus a technical approach your security team can review before build.
Build & evaluate
Thin vertical slices with golden datasets, eval harnesses, and observability so cost and latency are real—not theoretical.
Harden for production
Guardrails, access control, MLOps pipelines, and release gates—aligned to your cloud standards and compliance bar.
Launch & handoff
Runbooks, monitoring, model cards, and enablement for your team—so value compounds after go-live, not just at demo day.
Frequently asked questions
Frequently Asked Questions
Common questions about production AI/ML, data readiness, compliance, and how we take pilots to production.
Still Have Questions?
We’re here to help you!
For knowledge work, support, and search over your documents, we usually start with RAG or managed LLMs—faster to ship and easier to update. Custom ML fits when you need predictable scoring, forecasting, routing, or fraud-style signals on structured data. We map use cases to KPIs in discovery and recommend the smallest path that meets your accuracy and cost bar.
You do not need a perfect data lake. We need a clear problem, sample data or documents (even exports from tickets, PDFs, or a warehouse), and owners who can validate outputs. We help inventory sources, label gaps, and define a golden evaluation set so quality is measurable before anything reaches production.
We design for least-privilege access, encryption in transit and at rest, tenant isolation for RAG indexes, and audit logs for agent actions. For healthcare and financial clients we align to HIPAA-aware patterns, human-in-the-loop review, and your existing VPC or private-endpoint requirements—using your cloud accounts when policy requires it.
A focused pilot—scoped RAG assistant, document extraction flow, or a single predictive model—often lands in 6–10 weeks with eval gates and observability baked in. Larger platform work (multi-use-case MLOps, several integrations) runs in phased releases. We agree milestones up front so you see working software early, not a deck at the end.
Pilots often move to phased product work, managed MLOps, or embedded engineers on retainer. We align the model to whether you need velocity, operational coverage, or knowledge transfer.
Insights
From our engineering team
Practical notes on architecture, delivery, and shipping software your team can operate—not generic consulting filler.
A practical AI transformation roadmap for mid-size software teams
Skip the boil-the-ocean program. Sequence pilots by measurable workflow pain, data readiness, and who owns outcomes after vendors leave.
Designing APIs that survive real-world load
Versioning, idempotency, pagination contracts, and error shapes that keep mobile, partner, and batch clients stable when traffic spikes.