Autonoid designs and engineers AI agents, SaaS platforms and apps that fit how your team actually works.
Free discovery call✦Working prototype in weeks✦You own the code
Building AI products for teams in
Assistants that plan, answer and take action inside your tools, with the right guardrails and a human in the loop.
Start a projectReal-time interview copilot. A real-time copilot that listens on Zoom, Teams and Google Meet and suggests clear answers, coding help and on-the-job support as the conversation happens.
Find hiring managers in one click. Paste a job link or company website and get the recruiters and hiring managers behind it, with verified emails and outreach templates that get opened.
AI is only useful when it fits your systems. We connect models to your data, tools and workflows, so the software we build understands your business and acts on it.
Talk to an engineerIntegrations
Your AI agent
LLM + tools + your data
● ConnectedKnowledge (RAG)
Answers are grounded in your documents, with sources and permissions respected.
Analytics
Voice and vision
Full source code, documentation and infrastructure handed over at launch.
Role-based access, encryption, audit logs and private deployment options.
Evaluation suites and QA on every release, so AI quality never quietly drifts.
Cloud-native architecture that grows from first user to enterprise load.
Weekly demos, a shared board and no surprises on scope or cost.
Monitoring, model upgrades and new features from the team that built it.
We are model-agnostic by design. We build on Claude, ChatGPT, Gemini, Llama or Mistral, pick the right one for each job, and keep you free to switch.
Plan your buildProduction-grade tools your future team will already know.
You get a shared board with scope, owners and status from day one.
| Sprint plan | Owner | Timeline | Status | Due |
|---|---|---|---|---|
| Discovery and user flows | Done | Week 2 | ||
| Clickable prototype | Done | Week 4 | ||
| AI agent and integrations | Working on it | Week 8 | ||
| Security review and launch | Up next | Week 12 |
A clear process between your team and ours
Workshops to map your workflow, data and the problem worth solving first.
1 to 2 weeksA working demo on real or sample data, like the products in our demo lab.
2 to 4 weeksProduction engineering with testing, security reviews and integrations.
6 to 12 weeksLaunch, monitor, improve the AI and add features as you grow.
OngoingValidate one idea with a working prototype before you commit.
A dedicated team ships your AI product from design to launch.
An ongoing pod that keeps building, improving and supporting.
No. They are demo products built by Autonoid to show the kind of software we can design and engineer. Each one can be adapted into a custom product for your business.
Yes. Many projects start from a demo. We keep what fits, change what does not, and build it around your brand, data and workflows.
You do. Custom builds are handed over with full source code, documentation and deployment setup.
A prototype usually takes two to four weeks. A production launch typically takes two to four months depending on scope and integrations.
We are model-agnostic and choose between Claude, ChatGPT, Gemini, Llama, Mistral and others based on accuracy, cost and privacy needs.
Yes. We design for your compliance needs, including private deployments, role-based access, audit logs and data that is never used to train public models.
Tell us what you want to build. We will come back with a plan, a prototype path and a clear estimate.