AI Development Services
Most AI projects stall between a working demo and something a business can depend on. wwwdot.dev builds the second kind: AI products with real evaluation, observable failure modes, and an operational cost you can forecast before launch.
What we build
- AI agents and copilots
- Multi-model routing and orchestration
- Retrieval pipelines over private data
- AI research and analysis engines
- Workflow and process automation
- Prediction and scoring models
- AI-powered dashboards and consoles
How we work
Evaluation before scale
A model that works on ten hand-picked inputs tells you nothing about the eleven-thousandth. We build an evaluation set from your real data first, so quality is a number that moves rather than an impression, and regressions surface before users find them.
Model-agnostic by default
Providers change pricing, deprecate models and shift capability quarterly. Systems are built behind a routing layer so a model can be swapped without touching product code. ORCHESTRA routes GPT, Claude and Gemini through exactly this pattern.
Cost modelled, not discovered
Token spend is designed in: caching, context trimming, cheaper models for cheaper decisions. You get a per-request cost estimate during architecture, not a surprise on the first invoice.
Shipped work
Products already built and running, not concept pieces.
ORCHESTRA
Orchestrate every AI. One platform.
AI Infrastructure · Next.js · MCP · OpenAI
ORCHESTRA Console
Mission control for a fleet of agents.
AI Infrastructure · React · WebSocket · D3.js
AXIOM
Autonomous execution. Your guardrails.
Crypto AI Agents · React · GSAP · Three.js
GeoIQ
Find out what AI says about you.
Marketing Intelligence · React · PostgreSQL · OpenAI
QuantOS
Trade smarter. Powered by AI.
Quantitative Finance · React · WebSocket · Python · AI
AI Development Services questions
- What is the difference between an AI prototype and a production AI product?
- A prototype answers whether something is possible. A production AI product handles the inputs nobody planned for: it has an evaluation set, defined failure behaviour, cost controls, observability and a path to change models without a rewrite. wwwdot.dev builds the second, and treats the first as a step rather than a deliverable.
- Which AI models does wwwdot.dev work with?
- GPT, Claude, Gemini and open models, routed behind a provider-agnostic layer so a model can be replaced without changing product code. Model choice is made per task on cost and quality rather than fixed up front.
- How long does an AI product take to build?
- An AI MVP typically runs 4 to 8 weeks and a full AI platform 2 to 4 months. A concrete timeline is committed after the discovery call, with working software demonstrated weekly.
Related services
Tell us what you are trying to ship.
We reply within one business day, usually with questions and a rough scope.