Integrate AI into your product. Simplified.
The infrastructure layer between your product and the LLM providers. Instead of writing and maintaining all the “plumbing” (managing API keys, conversation history, prompt engineering, token counting, retries, caching, rate limits), you build agents in a dashboard and call them through one API.
We handle the hard parts. You build the product.
Six things the model providers structurally can't offer you — and we built the platform around.
No AI code in your app
Send a message, get a response. No SDK, no prompt engineering, no token math.
Switch models, not code
GPT-4o today, Claude tomorrow, Gemini next quarter. Change it in the dashboard.
Bring your own keys
BYOK per agent. Control and attribute cost per team and per use case.
Connect real tools via MCP
Agents auto-discover your APIs, databases, and tools through Model Context Protocol.
Trace every call
Native OpenTelemetry spans for every prompt, tool, and token. Export to your existing backend.
Self-host for privacy
Run it entirely inside your own infrastructure. Nothing leaves your org.
One API. Every model.
No lock-in.
Build a custom agent, ground it in your knowledge, connect your tools, and call it from your app — all through one endpoint. Switch the underlying model from a dashboard; your code never changes.
Write a system prompt, pick any model, and set parameters — all in the dashboard. No code, no SDK.
SentientOne vs going direct.
Same models, far less to build.
OpenAI, Anthropic, and Google ship the models. SentientOne is the platform around them — here's a quick look at what that buys you.
- SimplicityOne dashboard, one API for every agent
- Flexibility — switch LLMs without code changesGPT-4o, Claude, Gemini, Groq — flip in the dashboard
- Cost — predictable, BYOKFlat subscription + bring your own LLM keys
- Built-in agent platformFull agent dashboard with prompts, models, knowledge, tools
- Time to first integrationHours — create agent, get key, ship
Improve Your Search with Agentic AI
Most businesses still run a keyword search bar over a catalogue that customers describe in plain language. The gap between the two is lost revenue — every day. This guide shows how to move from keyword matching to natural-language search, and how to deploy a production-grade Product Search Agent in days, not months.
Improve Your Knowledge Base with AI Agents & RAG
Your team's knowledge is scattered across docs, wikis, and tickets — and answers stay locked away until someone goes digging. This guide shows how Retrieval-Augmented Generation turns that knowledge base into an AI agent that answers in plain language, cites its sources, and stays current, so your team finds what they need in seconds instead of hours.
Improve Your Customer Support with AI Agents
Support queues grow faster than headcount, and every minute a customer waits chips away at trust. Most teams paper over the gap with canned macros and after-hours auto-replies that never actually resolve the issue. This guide shows how AI agents handle the repetitive tickets end to end, escalate the ones that need a human with full context, and give your team back the hours they spend on copy-paste answers.
Live in under 10 minutes.
No SDK install.
Create an agent
Name it, write a system prompt, pick a model, set parameters. No code.
Connect or embed
Grab an API key, drop in the widget, or wire up MCP tools. Authenticate once.
Call one endpoint
POST /v1/chat/stream. SentientOne handles history, routing, retries — you get the reply.
curl https://api.sentientone.ai/v1/chat/stream \
-H "Authorization: Bearer $SENTIENTONE_KEY" \
-H "Content-Type: application/json" \
-d '{
"agent": "support-agent",
"message": "Where is my order #10294?"
}'What teams say
From the people
already shipping with it.
“Every time you want to add AI to your app, you end up writing a ton of code — managing API keys, handling conversation history, engineering prompts, counting tokens. And then six months later a better model comes out and you have to refactor everything. SentientOne just removes all of that.”
Daniel Marsh
CTO
Plans for every team size.
14-day free trial. Cancel anytime.
Starter
For developers prototyping AI features.
- 1 AI agent + 10k API requests/month
- 1 MCP server per agent
- Chatbot widget
- Knowledge (Documents + FAQs + Web Crawling) — 100 Credits †
- Rate limit 30 RPM
- 14-day log + chat history
- Analytics
- Community support
- AI Workspace (Team Chat)
- Organisational support
Pro
Most PopularFor teams shipping AI into production.
- 5 AI agents + 50k API requests/month
- 2 MCP servers per agent
- Chatbot widget
- Knowledge (Documents + FAQs + Web Crawling) — 300 Credits †
- Rate limit 50 RPM
- 90-day log + chat history
- Full observability & analytics (Trace)
- AI Workspace (Team Chat)
- Organisational support
- Team members ($9/member)
- Email support (48h)
Enterprise
Self-hosting and compliance at scale.
- Unlimited agents + API calls
- Unlimited MCP servers
- Unlimited document + Knowledge
- Custom rate limits
- Custom log retention
- Full observability & analytics (Trace)
- AI Workspace (Team Chat)
- Organisational support
- Self-hosted option
- Dedicated SLA & onboarding
All plans include a ChatGPT-like chat interface to talk to your agents.
BYOK (bring your own LLM API keys). Prices in USD. Cancel anytime.
† 1 Credit = 1 FAQ, 5 Credits = 1 Document. Additional credits available for purchase.
Ready to ship AI
into your product?
14-day free trial · BYOK · Cancel anytime