Own your AI
Build your own internal AI
Your knowledge, your skills, any model you choose, on a platform you own. Never locked to one vendor, never exposed to their price hikes.
Build or buy
Build it yourself, or buy into a vendor's walls
Every company rolling out AI hits the same fork, and neither path really lets you own it.
Build it yourself
Spin up a task force and spend a year wiring in your systems, standing up knowledge layers, skill sharing, and the controls you need. You own it, but it's slow, expensive, and hard to maintain once the people who built it move on.
Buy an Enterprise License
Take one big provider's platform and you're live in days. But your models, data, and workflows now sit inside their walls, and when the price climbs, you have nowhere to move.
Harriet is the third way: the depth of building it yourself, on a platform that already exists and kept open, so you're never locked in. We stand it up with you, and you own it.
What you own
Own every layer, not just the login
Here's your day:
1. Finish the Q3 budget review, due 2pm.
2. Prep the vendor call talking points.
3. Clear 4 approvals in your queue.
Reminder: follow up with Anna at 4pm.
FAQ
Questions before you build in-house.
Do we have to build everything ourselves?
No. The platform already exists: the knowledge layer, skill sharing, governance, and audit are built, and we stand it up with you. You get the depth of building it yourself without the year-long internal project, and you own the result.
How is this different from an enterprise licence with one AI vendor?
With a single-vendor licence your models, data, and workflows sit inside that vendor's walls, and when the price climbs you have nowhere to move. Harriet keeps the platform open: frontier models like Claude, GPT, and Gemini and open-source models like Llama, Mistral, Kimi, and DeepSeek are all available, and you can change the mix at any time.
Which models can our teams use?
Frontier or open source, your call: Claude, GPT, and Gemini alongside open-source models like Llama, Mistral, Kimi, and DeepSeek. You assign models per team or population, so finance can run EU-only Claude while engineering uses frontier models and support runs a cheap open-source model, all under one policy.
Can we bring our own MCP connectors and skills?
Yes. Harriet serves thousands of ready-made MCP connectors through one governed gateway, and your teams can add their own connectors and skills. Every addition is threat-scored and human-reviewed before it can touch company systems.