WeYala spins up a crew of specialist AI agents — researchers, business planners, technical architects, BD operators, code writers, security reviewers — that execute autonomously in the background. You stay in command through approval gates at the moments that actually matter. The agents do the rest.
Every project follows the same arc — research, business plan, architecture, execution — with named decision gates between stages. You approve. We continue.
Most AI tools generate documents. WeYala’s agents execute — they send the partnership emails, manage the multi-week correspondence, build the schema, deploy the service. Two specialized squads, one orchestrator, full coverage of the work.
Real-world correspondence. Long-running. Adaptive. The agents that draft your first-contact email to Kerr Dental, send it (with your approval), monitor your inbox for responses, follow up after a week, and regroup when six manufacturers decline and two ask for a call.
Code-writing agents. Each owns a surface: frontend, backend, database, security, tests, infrastructure. They run in isolated worktrees, write code, run tests, open PRs, get reviewed by an adversarial counter-agent before merge.
Between gates, WeYala works silently. No notifications. No status pings. No "the agent is thinking" indicators. When the agents need a decision, you see one clean modal.
They’ll provide quarterly catalog feeds via SFTP for a $0/yr cost on a 12-month commitment, in exchange for being listed as the recommended supplier for the composite category. This wasn’t in your approved campaign scope. Approve the counter, propose a revision, or escalate?
Not a demo. Not a hello-world. CircleStocker — an inventory-intelligence SaaS for small medical and dental offices — gets a full rebuild end-to-end by WeYala.
Twelve to sixteen weeks. Build Squad writes the new schema, migrates 316,000 canonical products, ingests FDA GUDID and openFDA data, ships the frontend. Operations Squad runs the manufacturer outreach campaign — Kerr, Dentsply Sirona, 3M ESPE, Medline, Cardinal — drafting first-contact emails, surfacing them for approval, navigating partnership negotiations, onboarding feeds.
If WeYala can deliver CircleStocker v2 end-to-end — shipping product, real manufacturer partnerships, customers using it — the product works. If it can’t, we learn exactly which subsystem failed.
We eat the LLM cost and bake it into agent-hours. You think in projects; we think in tokens.