Applied AI that reaches production — not just a pilot.
We build AI assistants, forecasting models, and document automation grounded in your data, wired into your workflows, and governed with human oversight.
When to bring us in
- Teams search manuals and policies to answer the same questions daily
- Forecasts and reorders still live in spreadsheets
- Invoices and forms are typed in by hand
- An AI proof-of-concept impressed but never shipped
AI & Machine Learning capabilities
Generative AI Assistants
Chat and voice assistants that answer from your data with source citations and role-based access.
Retrieval-Augmented Generation (RAG)
Private knowledge bases over documents, SOPs, and databases with evaluation and guardrails.
AI Agents & Automation
Agents that complete multi-step tasks through your tools and APIs, with approval steps for high-impact actions.
Forecasting & Anomaly Detection
Demand forecasting, smart reorder suggestions, and anomaly alerts on operational data.
Document AI
Extract and validate data from invoices, receipts, contracts, and forms into your systems.
AI Strategy & Governance
Use-case prioritization, data readiness reviews, and responsible-AI policies.
How a typical engagement runs.
- 01
Prioritize
Pick use cases by business value, data readiness, and risk.
- 02
Prototype & evaluate
Build against real data and measure quality with an evaluation set.
- 03
Productionize
Integrate into apps, add guardrails, monitoring, and access control.
- 04
Improve
Track accuracy, cost, and feedback; retrain and tune continuously.
Tools and platforms we work with.
Models
- Claude
- OpenAI GPT
- Gemini
- Open-weight models
AI tooling
- Vector databases
- LangChain / LlamaIndex
- MCP tool integrations
Machine learning
- Python
- scikit-learn
- PyTorch
- Prophet
Platforms
- AWS Bedrock
- Azure AI
- Google Vertex AI
What you receive
- Prioritized AI use-case roadmap
- Evaluation dataset and quality benchmarks
- Production AI service integrated with your apps
- Monitoring for accuracy, cost, and usage
What changes for your business.
Answers in seconds
Staff ask in plain language and get cited answers from approved sources.
Less manual entry
Documents become structured data without re-typing.
Governed by design
Human approval for high-impact actions, audit logs, and no training on your data without consent.
Work with us the way that fits your project.
Fixed-Scope Project
Best for: Well-defined requirements and a fixed budget
Dedicated Team
Best for: Ongoing product development
Time & Materials
Best for: Evolving scope and fast iteration
Managed Services
Best for: Systems already in production
AI & Machine Learning questions
Will our data be used to train public models?
No. We use enterprise model endpoints and architectures that keep your data out of model training, and we document exactly where data flows.
Have you shipped AI in production?
Yes. Our own Lottery Management platform runs an AI assistant that answers sales and inventory questions by text or voice, and voice commands for in-store displays.
How do you measure whether an AI feature is good enough?
We agree an evaluation set with your experts up front and track accuracy, latency, and cost against it before and after launch.
Often combined with
Data Engineering & Analytics
Data pipelines, warehouses, and BI dashboards that give leaders one trusted view of the business.
Custom Software Development
Enterprise web applications, SaaS platforms, portals, and APIs engineered around your workflows.
Application Security & Compliance
Secure SDLC, security reviews, cloud security hardening, and compliance readiness.
Let’s talk about your AI & Machine Learning needs.
Share your goals and constraints. A solutions architect will reply with questions, an approach, and next steps — no obligation.