The most capable AI agents, but it's just one API.

Build agents in a dashboard, connect your tools and knowledge, and call everything through a single endpoint. SentientOne is the layer between your product and the model providers.

14-day free trial · No credit card required

Ask Support Agent

Ask a task, @ to reference your data
GPT-4o3 toolsKnowledge onTraced

Recent conversations

Where is order #10294?

Resolved · 1.8s · 412 tokens

Summarise this week's churn tickets

Streaming…

Draft a refund policy answer

12 minutes ago

Introducing SentientOne

Every team rebuilds the same AI plumbing. We built it once, properly.

API keys, conversation history, prompt engineering, token counting, retries, caching, rate limits — none of it is your product. SentientOne handles the plumbing so your app just sends a message and gets an answer.

Everything you need to ship AI.

Anything your product needs from AI, one platform can do for you.

Custom AI agents

Create an agent in the dashboard: name, system prompt, model, temperature. Change it anytime — no redeploys.

One API for everything

POST /v1/chat/stream. Conversation history, retries, rate limits, and streaming are handled for you.

Switch models anytime

GPT-4o, Claude, Gemini, Groq. Swap the model behind an agent from the dashboard — your code never changes.

Real tools via MCP

Agents auto-discover and call your APIs, databases, and internal tools through Model Context Protocol.

Grounded in your knowledge

Upload PDFs, add FAQs, crawl your site. Agents answer from your content — not the open internet.

Embeddable chat widget

One script tag gives you a ready chat UI on your site, wired straight to your agent.

No lock-in

Switch models without touching code.

The model is a setting on the agent, not a dependency in your codebase. Try Claude on Tuesday, ship GPT-4o on Friday — your integration stays identical.

Why teams switch

support-agent · model

  • Claude SonnetAnthropic
  • GPT-4oOpenAI
  • Gemini 2.5 ProGoogle
  • Llama 4Groq

Saved. 0 lines of your code changed.

Connected MCP servers

  • stripe-api6 tools discovered
  • postgres-readonly4 tools discovered
  • zendesk2 tools discovered

Point an agent at a server — its tools appear automatically.

Model Context Protocol

Your tools, discovered — not hard-coded.

Expose your APIs and databases through MCP and agents figure out the rest: what tools exist, when to call them, and how. No glue code to write or maintain.

Explore MCP integration

Observability

See exactly what every request did.

Each call becomes an OpenTelemetry trace: the prompt, every tool call, tokens, latency, and cost. Debug in the dashboard or export to the observability stack you already run.

Explore tracing

Trace · req_8f2c

1,412 tokens · $0.0031
  • agent.run1,840 ms
  • knowledge.retrieve220 ms
  • tool.stripe.lookup340 ms
  • llm.stream1,140 ms

How it works

Live in under 10 minutes.
No SDK install.

01

Create an agent

Name it, write a system prompt, pick a model, set parameters. No code.

02

Connect or embed

Grab an API key, drop in the widget, or wire up MCP tools. Authenticate once.

03

Call one endpoint

SentientOne handles history, routing, and retries — you get the reply.

POST /v1/chat/stream
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?"
  }'

Same models. Far less to build.

OpenAI, Anthropic, and Google ship the models. SentientOne is the platform around them.

  • Time to first integrationHours with one endpoint — not weeks of SDK plumbing.
  • Switching LLM providersA dashboard dropdown. Going direct means a rewrite.
  • Conversation history & retriesBuilt in. Providers leave both to you.
  • Tool calling across your stackMCP auto-discovery instead of hand-written glue code.
  • Cost controlBYOK — pay providers directly, attribute spend per agent.

Secure enough for real data.

Built for teams whose prompts, customers, and costs actually matter.

Bring your own keys

Your provider keys, attached per agent. Pay OpenAI, Anthropic, or Google directly and attribute every dollar.

Self-host when it matters

Run single-tenant inside your own AWS, Azure, GCP, or on-prem. Prompts and data never leave your org.

A record of every call

OpenTelemetry traces for each prompt, tool call, and token — exportable to the backend you already use.

Simple pricing. Every plan ships.

14-day free trial on everything. Bring your own keys. Cancel anytime.

Starter

$19/month

For developers prototyping AI features.

  • 1 AI agent · 10k API requests/mo
  • 1 MCP server per agent
  • Chatbot widget
  • Knowledge — 100 credits †
  • 14-day logs & chat history
  • Community support
Start free trial

Pro

Most popular
$49/month

For teams shipping AI into production.

  • 5 AI agents · 50k API requests/mo
  • 2 MCP servers per agent
  • Knowledge — 300 credits †
  • Full tracing & analytics
  • AI Workspace (team chat)
  • 90-day logs · email support
Start free trial

Enterprise

Custom

Self-hosting and compliance at scale.

  • Unlimited agents & API calls
  • Unlimited MCP servers & knowledge
  • Self-hosted / single-tenant option
  • Custom rate limits & retention
  • Dedicated SLA & onboarding
  • Security review support
Contact us

All plans include a ChatGPT-like chat interface for your agents · Prices in USD · † 1 credit = 1 FAQ, 5 credits = 1 document

Crafted for product teams.
Start shipping AI today.

14-day free trial · No credit card required · Cancel anytime