AI features that solve a real problem, not a demo that impresses once
We build production AI systems — chatbots, RAG knowledge assistants, document intelligence, computer vision, and predictive models — grounded in your actual data and evaluated before they ever reach a user.
There's a difference between an AI demo and an AI system your business can rely on. A demo impresses once. A production system handles edge cases, degrades gracefully, stays within budget, and gets evaluated against real metrics before and after launch. That's the bar we build to.
Most of our AI work falls into a few patterns: giving an LLM access to your own data safely (RAG), automating a task that currently eats staff time (document processing, classification, support triage), or adding intelligence to an existing product (recommendations, search, computer vision). We're upfront when a simpler rules-based system would solve your problem more reliably and cheaply than a model — we'd rather tell you that than sell you AI you don't need.
What’s included
AI Application Development
End-to-end applications with AI capability built into the core product.
Machine Learning Development
Custom models trained on your data for classification, scoring, or prediction.
Generative AI Development
Content, code, and data generation features powered by LLMs.
Chatbot Development
Conversational interfaces for support, sales, or internal use.
Customer Support AI
AI-assisted ticket triage, response drafting, and FAQ deflection.
RAG / Knowledge Assistants
AI assistants grounded in your own documents and data, with citations.
LLM Integration & Fine-Tuning
Integrating or adapting large language models for your specific use case.
Private / Local AI Deployment
Self-hosted models for data privacy and compliance-sensitive use cases.
Document Intelligence & OCR
Extracting structured data from invoices, forms, and scanned documents.
Natural Language Processing
Text classification, entity extraction, and language understanding.
Sentiment & Text Classification
Automated tagging of feedback, reviews, and support tickets.
Recommendation Systems
Personalized product, content, or action recommendations.
Predictive Analytics
Forecasting demand, churn, or risk from historical data.
Fraud & Anomaly Detection
Flagging unusual transactions or behavior in real time.
Computer Vision
Image and video understanding for automation and inspection.
Face Recognition
Identity verification and access control use cases.
Object Detection
Detecting and counting objects in images or video streams.
Video Analytics
Automated analysis of video footage for insights or alerts.
Speech AI
Speech-to-text, voice assistants, and transcription pipelines.
AI Agents
Multi-step autonomous workflows that use tools to complete tasks.
AI Evaluation & Monitoring
Testing AI outputs for quality and tracking performance in production.
Explore specific services
Dedicated pages for each ai & machine learning service we offer, with full scope and FAQs.
AI Application Development
An end-to-end application with AI capability built into the core product, not bolted on as an afterthought.
Machine Learning Solutions
A custom model trained on your own data for classification, scoring, or prediction tasks specific to your business.
Generative AI Applications
Content, code, or data generation features powered by large language models, scoped to a real use case.
AI Chatbots
A conversational interface for support, sales, or internal use, grounded in your actual content and workflows.
AI Customer Support Assistants
AI-assisted ticket triage, response drafting, and FAQ deflection that reduces support team workload.
RAG & Knowledge Assistants
An AI assistant grounded in your own documents and data, with citations back to the source material.
LLM Integration & Fine-tuning
Integrating or adapting a large language model for your specific use case, rather than using it generically.
Private / Local AI Deployment
A self-hosted model deployment for data privacy and compliance-sensitive use cases.
Document Intelligence & OCR
Extracting structured data from invoices, forms, and scanned documents automatically.
Natural Language Processing
Text classification, entity extraction, and language understanding tailored to your content and domain.
Sentiment & Text Classification
Automated tagging of feedback, reviews, and support tickets by sentiment or category.
Recommendation Systems
Personalized product, content, or action recommendations based on real user behavior.
Predictive Analytics & Forecasting
Forecasting demand, churn, or risk from your historical data to support planning decisions.
Fraud & Anomaly Detection
Flagging unusual transactions or behavior in real time before they become a bigger problem.
Computer Vision
Image and video understanding built for automation, inspection, or monitoring use cases.
Face Detection & Recognition
Identity verification and access control built on face detection and recognition models.
Object Detection & Image Classification
Detecting, counting, or classifying objects in images or video streams for automation tasks.
Video Analytics
Automated analysis of video footage to surface insights or trigger alerts without manual review.
Speech AI
Speech-to-text, voice assistants, and transcription pipelines built for your specific audio conditions.
AI Agents & Workflow Integration
Multi-step autonomous workflows where an AI agent uses tools to complete a task end-to-end.
AI Evaluation & Monitoring
Testing AI outputs for quality before launch and tracking performance and drift once it's in production.
What we deliver
- A clear-eyed assessment of whether your problem actually needs AI, or a simpler solution
- A working prototype early, evaluated against real examples before full build-out
- Grounding in your own data (RAG) so answers are based on your content, not the model's general training
- Cost and latency budgets considered from the start — not an afterthought when the bill arrives
- Monitoring for drift and failure cases after launch, not just a one-time delivery
Why it matters
Honest scoping
We'll tell you plainly if a rules-based system beats an AI model for your use case.
Grounded in your data
RAG and fine-tuning approaches keep answers accurate to your actual content, not generic.
Evaluated, not just demoed
We test against real examples and edge cases before anything reaches production.
Cost and latency aware
Model and architecture choices factor in what you'll actually pay per request at scale.
Technology we use
Ways to engage
Proof of concept
A scoped prototype to validate feasibility and output quality before full investment.
Production AI feature
Full build-out of an AI capability integrated into your product.
AI advisory & evaluation
Assessment of an existing AI system's accuracy, cost, and reliability.
Frequently asked questions
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