Where your whole R&D team builds agents your users love
The agent platform where your whole R&D team collaborates to build, deploy and improve fleets of agents your users depend on, faster, without the complexity & delays of code-only builds.
Built on your AWS, GCP or Azure and managed via MCP in
Trusted by leading mid-market and enterprise SaaS vendors
The problem
In code, every agent or tweak is its own engineering project.
10 hand-offs to the same developers, where every build or fix competes with the existing backlog
Your whole team in one place, building, deploying and optimizing together, simpler & faster
Introducing
One platform where your whole R&D team builds and improves agents from so a small team ships like a much bigger one.
- Read your connections in Mindset AI
- Created Support agent with 5 connections
- Added refund policy and help center
- Wrote 12 acceptance tests from past tickets
- Sent a deploy request to engineering
Ready for your next release.
Why teams work with Mindset AI
Building and improving fleets of agents for users requires a scalable, controlled layer that your whole R&D team works through.
Innovate faster with your whole R&D team building agents on one platform
Product, engineering and SEs build and improve agents against acceptance criteria from on one compliant, controlled layer, so a small team ships with the pace of a much bigger one, without endless PRDs or delays.
Build agents that take real action for users, by talking to AI that knows your product
Add generative UI, triggers, human-in-the-loop approvals, third-party apps and your APIs from , so your agents stand out.
Give every customer and tier its own version of one agent, and sell it as an upgrade
PlanStarter
ToolsOrder tracking
PlanPro
ToolsExchanges
PlanEnterprise
ToolsRefunds
Set different tools, knowledge and limits for each customer and pricing plan from , without a separate build for every customer.
Improve and optimize your agents every week from real conversations
Read this week’s conversations, failed runs and costs in Mindset AI
Here’s what’s broken:
- Delivery dates are wrong when the courier lookup times out
- Address changes get handed off instead of handled
Suggested fixes:
- Retry the courier lookup and say when a date is unknown
- A/B test a smaller model on order lookups to cut cost
Monitor real usage, diagnose failures and A/B test fixes and cheaper models from , without tickets and weeks of waiting for a small fix.
Customers
Trusted by technology and product leaders of leading B2B SaaS companies
“We built the agent experiences we needed, our non-technical teams run the day-to-day, and engineering supported with implementation so the core platform roadmap was not sacrificed.”
Michaela HeiglCTO, Mindtools Kineo
From an AI tutor that reduces drop-outs to agents for learners, customers and staff
19%difference in completion rates for learners supported by EVA
12%fewer learners who never start their program
“We needed something that could give each program its own agent with access to the right content, across 2,000 programs, without any data leaking between clients. I wanted one partner who covered the lot.”
Emma ThompsonCTO, Hult Ashridge
“The Mindset platform let us scale coaching support without scaling our team. Our coaches are spending their time on high-value conversations, and our learners are staying engaged.”
Rubecca AliHead of Learning Technologies, Future Talent Learning
“We went from a 9-month timeline to weeks. The Mindset stack let us build multiple use cases, coaching, compliance and course discovery, without starting over each time.”
James CranwellHead of Product, 5app
“We built the Social Value Insight tool in 6 weeks. The feedback from our customers has been outstanding.”
Jacqui BatesonManaging Director, HACT
FAQ
Common questions
Mostly no. Your coding agent maps the existing agent onto Mindset for you, and its prompts, API and MCP tools, sub-agents and evals carry across, so nothing in your own systems needs rebuilding.
Yes. Product works in Sandbox, every save is a version, and going live is a separate step that refuses any script calling an untested operation. Any version can be rolled back.
On Mindset’s hosting or in your own AWS, GCP or Azure. Your org’s data stays in the region you pick when it’s created.
No. Credentials sit in a secret store and are never put in an agent’s context or sent to a model. Agents can only call the operations you name, and have no general web access.
Saving creates a version. Going live is a separate activate step, Sandbox and Production are kept apart, and you roll back by activating an earlier version, with no code release.
No. BYOK, pin a model per agent, and test a cheaper one against your criteria before you switch.
Where AI-first teams collaborate to build agents users love, more simply
See how a small team ships with the pace of a much bigger one, or read the docs at your own pace.