Before
Teams stuck on repetitive manual work
After
AI agents that automate end-to-end workflows
AI DevelopmentAI that does real work, not just demos.
We build AI agents, copilots and machine-learning models that plug into your business: automating workflows, answering questions from your own data and predicting what happens next.
- 01AI agents
- 02Generative AI & LLMs
- 03Machine learning
- 04Document AI
01 — What’s included
Everything included in AI Development
One team covers the whole scope, so nothing falls between vendors.
- 01
AI agents
Agents that take actions across your systems with human approval.
- 02
Copilots & chat assistants
Assistants grounded in your documents, policies and data.
- 03
Machine learning models
Forecasting, scoring and classification models in production.
- 04
Document AI
Extract data from invoices, forms and contracts automatically.
- 05
AI in your product
Smart search, summaries and automation built into your app.
- 06
MLOps
Deployment, evaluation and monitoring so models stay accurate.
02 — Problems we solve
Before CodeXcape, and after
Where AI Development usually goes wrong, and what we do differently.
Before
Knowledge buried in documents and inboxes
After
AI assistants that answer from your own data
Before
Pilots that never reach production
After
Production-grade AI with monitoring and guardrails
Before
Decisions made on gut feeling
After
Predictive models built on your historical data
03 — How an engagement runs
Four steps, one accountable team
Step 01
Discover
Workshops to map your processes, systems and goals.
Step 02
Design
Architecture, UX and a delivery plan you can hold us to.
Step 03
Build
Agile sprints with demos every two weeks.
Step 04
Run
Launch, support and continuous improvement after go-live.
04 — Outcomes
What you can expect
01
Hours saved
Repetitive work handled by AI, reviewed by people.
02
Answers on demand
Staff and customers get accurate answers instantly.
03
Better forecasts
Plan with data instead of guesswork.
05 — Built with
- Azure OpenAI
- OpenAI
- Anthropic Claude
- LangChain
- Python
- PyTorch
- Azure AI Search
- Vector databases
06 — Where we apply it
AI Development across industries
07 — FAQ
Questions we often hear
How do we get started?
Book a call or send us a message. We begin with a short discovery session to understand your goals, systems and timeline, then share a proposal with scope, team and cost.
Can you work alongside our in-house team?
Yes. We can deliver end to end, or join your developers, designers and product owners inside your own tools, sprints and rituals.
How is pricing structured?
It depends on the scope. After discovery we recommend either a fixed price for a well-defined project or a dedicated monthly team for ongoing work.
Do you support the work after launch?
Yes. Maintenance and support plans keep what we build monitored, secure and improving after go-live.