We build custom AI applications, LLM-powered products, retrieval systems and machine learning models that ship to production and keep improving with your data.
From proof of concept to a monitored production system, we cover the full AI lifecycle with engineers who also build the surrounding product.
End-to-end AI products with web and mobile front ends, APIs, user management and billing, built around a model that solves one business problem well.
Learn moreChat assistants, copilots and content engines on OpenAI, Anthropic Claude, Gemini or open-source models, with prompt management, guardrails and evaluation.
Learn moreRetrieval-augmented generation over your documents, tickets, catalogs and databases, with vector search, citations and access control.
Learn moreImage classification, object detection, OCR and quality inspection models for retail, manufacturing, logistics and healthcare.
Learn moreDemand forecasting, churn prediction, pricing and recommendation engines trained on your historical data and served through APIs.
Learn moreTraining pipelines, model registries, deployment, monitoring and cost controls on AWS, Azure or Google Cloud.
Learn moreConversational search and recommendations over 40k SKUs, trained on the catalogue and policies.
Bills of lading and customs forms read, validated and pushed to the TMS with exceptions flagged.
Natural-language questions turned into dashboards and alerts for non-technical users.
We combine data scientists with product engineers, so your AI is not a notebook demo but a maintainable system your customers can use.
A two-week proof of concept on your real data shows accuracy and value before you commit to a full build.
Private cloud or VPC deployments, enterprise APIs without training on your data and full audit trails.
Every model and prompt ships with test sets, metrics and regression checks so quality does not drift.
The same team builds the model, the API, the interface and the cloud infrastructure around it.
We scope the narrowest useful problem, validate it with a proof of concept, then build a production system with monitoring and a roadmap for the next iteration.
We pick the model, framework and cloud that fits your accuracy, latency, privacy and budget requirements.
A proven process to turn your ideas into powerful digital solutions.
We identify the problem, the data you have and the accuracy that makes it worthwhile.
A short build on real data validates the model, prompts and cost per request.
We engineer the app, APIs, pipelines, evaluations and security controls.
We track quality and usage in production and retrain or refine on a schedule.
Answers to the questions we hear most often. Need more detail? Talk to our team.
AI Automation connects existing tools with agents and workflows to remove manual work. AI Development builds new products and models, such as a custom copilot, a vision system or a forecasting engine. Many clients start with automation and grow into a custom product; see our AI Automation Services.
Not for LLM and RAG applications, which work with the documents you already have. Predictive and vision models need historical examples; we assess your data in discovery and tell you honestly whether it is enough.
Whatever fits the job: OpenAI, Anthropic Claude and Gemini through enterprise APIs, or open-source models such as Llama and Mistral hosted privately when data residency or cost demands it.
We deploy in your cloud account or VPC, use API tiers that do not train on your data, encrypt data at rest and in transit, and apply role-based access to every retrieval index.
We provide monitoring, evaluation dashboards and a support retainer. Your team receives documentation and training, and you own all code, prompts and model artifacts.
Tell us about the problem you want to solve. We will come back within one business day with a proof-of-concept plan, timeline and estimate.
Or schedule a free consultation
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