AI Development
AI that does real work, not just demos
We build AI features that hold up in production: agents that complete tasks, assistants that answer from your own data and models that predict what happens next. Each one ships with evaluations, guardrails and cost controls.
- Measured quality on every release
- Evals
- Your data never trains public models
- Private
- We pick the model that fits the job
- Model-agnostic
What we deliver
AI Development, end to end
AI Chatbots & Virtual Assistants
Support and sales assistants that answer from your docs and hand off to a human when needed.
Agentic AI Solutions
Agents that plan and carry out multi-step tasks across your tools, with approvals where it matters.
Predictive Analytics & Forecasting
Demand, churn and revenue forecasts built on your historical data.
Natural Language Processing
Classification, extraction, summarization and search across documents and messages.
Computer Vision & Image Recognition
Detection, inspection and OCR for images and video, in the cloud or on-device.
Machine Learning Model Development
Custom models trained, fine-tuned and deployed with monitoring for drift.
Recommendation & Personalization
Engines that suggest the right product, content or next step for each user.
AI Automation & Decision Support
Automate repetitive decisions and give teams better information for the hard ones.
How it works
A clear path from kickoff to launch
Every engagement runs in short cycles with a demo at the end of each one, so you see progress weekly rather than at the end.
- 01
Identify
Find the workflows where AI saves real time or money.
- 02
Prototype
A working pilot on your data, measured against a baseline.
- 03
Productionize
Guardrails, monitoring, fallbacks and cost controls.
- 04
Improve
Evaluate, tune prompts and models, and expand scope.
Tools & technology
The stack we trust
We choose tools for the job and for your team’s ability to maintain them after we hand over.
- Claude
- OpenAI
- Gemini
- LangChain
- LangGraph
- LlamaIndex
- Python
- PyTorch
- pgvector
- AWS Bedrock
Related work
Recent projects
FAQ
Common questions
We use enterprise API terms that don't train on your data, and we can deploy models inside your own cloud account when needed.
We build an evaluation set from real examples and test every change against it before release.
Yes. Most of our AI work plugs into systems clients already run, through APIs and integrations.
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Let’s talk AI Development.
Tell us what you’re building and where you need help. We reply within one business day with honest next steps.
hello@crowdcarry.com