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The Complete Agent Stack · 14 features

Fourteen features. One agent stack that stays accurate.

Everything a data agent needs before people can rely on its answers, across four layers: ontology, agent harness, distribution and the improvement loop.

01 / The features14 features · four layers
Feature 01 · Ontology

Upsolve Data Models

One definition of ARR. Every agent answer uses it.

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Feature 02 · Ontology

Upsolve Row-Level Security

Data permissions your AI agent can't talk its way past.

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Feature 03 · Agent harness

Upsolve MCP Connections

Plug Notion, Linear and more into your data agent.

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Feature 04 · Agent harness

Upsolve Harness 2.0

A data agent that's 2x faster and learns every user.

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Feature 05 · Distribution

Upsolve BI Canvases

Turn agent answers into dashboards your team shares.

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Feature 06 · Improvement loop

Upsolve Observability

See every step your data agent took, and fix it.

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Feature 07 · Ontology

Upsolve Data Plane

Stripe, PostHog and HubSpot. One agent. Real SQL.

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Feature 08 · Distribution

Upsolve MCP for Claude

Your governed data agent, right inside Claude.

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Feature 09 · Distribution

Upsolve Demo Projects

A working data agent from your first minute.

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Feature 10 · Improvement loop

Upsolve Golden Questions

Teach your agent the right answer, and know when it's unsure.

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Feature 11 · Ontology

Upsolve Workspaces

Your whole agent, in one versioned workspace.

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Feature 12 · Distribution

Upsolve Branded HTML Apps

Turn any canvas into a branded app in seconds.

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Feature 13 · Improvement loop

Upsolve Builder Agent

An agent that improves your data agent.

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Feature 14 · Ontology

Upsolve Self-Serve Onboarding

Sign up free. Get a working workspace in minutes.

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02 / The stack

How the features fit together

Each feature strengthens one layer. The improvement loop feeds back into the ontology, so the agent gets better with every conversation.

01
Ontology
Your data described clearly. Permissions enforced deterministically, not delegated to the agent.
02
Agent harness
Snappy, reliable, accurate. Learns from real interactions and updates its skills and memory.
03
Distribution
Your product, your Slack channels, Claude. Go where your users already are.
04
Improvement loop
Live evals on real usage find the gaps, then you harden the context to close them.

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