Build & launch
Nobody outside the team can use the prototype: it runs where it was built, on a laptop or in a vendor's tool, with no endpoint, hosting, or memory between runs.
From vibe-coded prototype to production AI Agents in one click
Production-grade AI agents for business
The gap
DeclAI closes the gap between vibe-coded prototypes and production agents for business.
1Prototype & experimentsSolved by existing tools.
The gapProduction agent
2Build & launchThe prototype becomes an agent people can use.
3Cost & quality optimisationThe agent runs at the optimum price for its quality.
4MaintenanceThe agent keeps working as models and the environment change.
93%have not fully integrated AIUS firms with 1-499 employees that use AI (Federal Reserve Banks, 2025).
Our first target: AI-native SMBs of 1-500 people. Next we'll serve enterprises.
The problem
After the prototype, every stage brings a new problem.
Cost & quality optimisation
Prototype model kept, nothing cheaper tried: the price of a given level of AI performance has fallen 13 times a year since 2023 (Epoch AI, September 2026).
Maintenance
Nothing watches the live agent: no run logs, no metrics, so a model update, a tool change, or new data breaks it and nobody knows until customers complain.
Of small businesses that use AI, 49% name a lack of technical expertise as a challenge (Goldman Sachs 10,000 Small Businesses Voices, March 2026).
The solution
DeclAI covers stages 2 to 4.
Build & launch
From a workflow description, DeclAI assembles steps, tools, and prompts. The agent runs on DeclAI's harness and servers. The customer gets an API.
Cost & quality optimisation
DeclAI picks each agent's model with heuristics built for the cost-quality optimum, and caches responses and runs.
Maintenance
Observability is built in: every run is recorded with its token cost, and each agent's logs, artifacts and management are on the DeclAI platform.