How much does Opensee cost?

Enterprise pricing is not published; demos on request.

What are the best alternatives to Opensee?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Opensee among data analyst agents are Tellius, ThoughtSpot, Zenlytic, Actian AI Analyst. Each is graded on the same public evidence, and no vendor pays for placement.

Can Opensee be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Opensee publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: The platform runs on any cloud, on premises or on a hybrid cluster. AWS is named as a cloud partner, and Agensee is sold through AWS Marketplace. Business users work with the data, and technical teams build the data models on the same platf. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Opensee give you tracing and observability into agent runs?

Full under the Agentic Index verification standard. Opensee publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: Every database query the agent runs is readable and auditable so a user can verify what it did at each step, and every result is reproducible. Execution runs in a part of the platform called the Vault, which is fully auditable. Agensee also. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Opensee require human approval before an agent acts?

Full under the Agentic Index verification standard. Opensee publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: Forced plan declaration makes every agent state what it will do before acting, giving the user control before any action runs. Data fixes can run with or without a person validating them. Actions are reversible and kept apart from shared da. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Opensee

Q: Who is Opensee for?

Banks and financial institutions, Hedge funds and asset managers, Risk and finance data teams

Also known as: Agensee

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Data analyst agentindependentVerified 2026-09-28

Entry priceNot published; demo on requestFull pricing detail

Agentic AI layer (Agensee) on Opensee's risk and trade data platform that plans and runs governed queries and analytics over live financial data, declaring each plan before it acts.

Opensee provides a real time data platform for risk, finance and trade data at sell side and buy side firms, and Agensee is its agentic AI layer. A semantic layer turns raw financial data into governed business definitions, and for each request Agensee plans a multi step analysis, translates the intent into typed operations and executes SQL, analytics and tool calls in a sandbox permissioned per user, including functions the customer adds to its toolbox. Every agent declares its plan before acting, actions are versioned and reversible in the user's own branch, and every database query is readable and auditable. Agensee also monitors data for anomalies and flags them in seconds.

Agensee supports Amazon Bedrock, Google Vertex and internal firm models, and it can connect to a customer's own agents through MCP or low code APIs. The platform runs on any cloud, on premises or on a hybrid cluster. Opensee's solutions cover market, counterparty credit, liquidity, ESG and climate risk, collateral and margin, trade analytics, IRRBB, FP&A and accounting.

Vendor details

Canonical URL

https://www.opensee.io

Funding status

Series A

Company status

independent

Use cases & customers

Primary use cases

Natural language analytics on risk and trading dataAutonomous multi step data analysisAnomaly monitoring on risk dataGoverned and auditable agent actions in finance

Target customers

Banks and financial institutionsHedge funds and asset managersRisk and finance data teams

Deployment options

customer cloudon premiseshybrid

Integrations

Agents run SQL, analytics functions and tool calls over the customer's live data on the Opensee platform, with customer defined functions added to the toolbox; Amazon Bedrock, Google Vertex or internal models; per the vendor's FAQ, connects to the customer's own agents through MCP or low code APIs.

In practice

A market risk team asks Agensee why VaR moved since yesterday, and it drills through the drivers on live data and writes an explainability report.

A risk data team lets Agensee check the day's risk data, flag anomalies and fix what it can, with a person validating the fixes when the team wants that.

A quant describes a new calculator in a prompt, and Agensee builds it from the methodology document and the existing data model, ready to refine on live data.

Sources & related URLs

Research sources

https://www.opensee.io/

Agentic Index coverage score

10.0 / 14 capabilities · 71%

Integrations & Tool Calling	Full
Agensee executes optimized SQL, analytics and tool calls against the firm's live risk and trading data, and customers add their own user defined functions and analytics to the agent's toolbox. Every interaction with the database is a live query, not a precalculated result. Agensee is sold in the AI Agents and Tools category of AWS Marketplace. SourceOpensee, opensee.io/agentic-ai and opensee.io/news 2025 year in reviewread 2026-10-05
Workflow Orchestration	Partial
Agensee's planning layer reasons step by step and runs a multi step analysis on its own for each request. Planning happens in an LLM zone that reads the request, plans and orchestrates the work, and execution happens in a separate sandbox. In a daily risk review it can drill recursively into the drivers of a change, such as a move in VaR. There is no workflow that a customer builds, branches or schedules, and Opensee no longer names the orchestrator, query manager and data analyzer agents it once listed. SourceOpensee, opensee.io/agentic-ai and opensee.io/videos Automate daily risk analysis with Agenseeread 2026-10-05
Knowledge Grounding & RAG	Full
A semantic layer turns the firm's raw risk, finance and trade data into governed business definitions and translates natural language intent into typed, deterministic operations over that data, and every query runs live against it. The AI Data Model Generator builds data models from prompts, and the AI Calculator Generator builds calculators and metrics from documentation, data models and prompts. Both can be refined as the work goes. SourceOpensee, opensee.io/agentic-ai and opensee.io/news 2025 year in reviewread 2026-10-05
Human Oversight & Guardrails	Full
Forced plan declaration makes every agent state what it will do before acting, giving the user control before any action runs. Data fixes can run with or without a person validating them. Actions are reversible and kept apart from shared data in versioned branches. SourceOpensee, opensee.io/agentic-ai and opensee.io/videos Automate daily risk analysis with Agenseeread 2026-10-05
Security, Identity & Governance	Partial
Execution is sandboxed and permissioned per user for both data and functionality, and the sandbox blocks access to the operating system and data leaks. Opensee does not mention SSO, has no published attestation such as SOC 2 or ISO 27001 and no security page, and its documentation sits behind a login. SourceOpensee, opensee.io/agentic-ai and /productread 2026-10-05
Observability & Auditability	Full
Every database query the agent runs is readable and auditable so a user can verify what it did at each step, and every result is reproducible. Execution runs in a part of the platform called the Vault, which is fully auditable. Agensee also writes a data quality report every day, and explainability reports that follow the firm's own instructions. SourceOpensee, opensee.io/agentic-ai and opensee.io/videos Automate daily risk analysis with Agenseeread 2026-10-05
Memory & State Persistence	Partial
Agent actions are versioned and kept in the user's own branch, where they can be reversed, so working state persists. There is no memory that the agent keeps from one session to the next, and Opensee no longer makes an earlier claim of shared memory. Branches keep each user's actions apart from the shared data. SourceOpensee, opensee.io/agentic-airead 2026-10-05
Deployment & Data Residency	Full
The platform runs on any cloud, on premises or on a hybrid cluster. AWS is named as a cloud partner, and Agensee is sold through AWS Marketplace. Business users work with the data, and technical teams build the data models on the same platform. SourceOpensee, opensee.io/product and opensee.io/news 2025 year in reviewread 2026-10-05
Prebuilt Agents / Templates / Packs	Partial
Agensee comes with predefined skills that make common analyses faster, but Opensee does not name or list them. Its solutions for market, credit and liquidity risk are uses of the platform, not packaged agents. Agensee has three named AI capabilities, an AI Data Model Generator, an AI Calculator Generator and Data Quality. Data Quality detects anomalies, runs data quality checks and investigates issues in plain language on live data. SourceOpensee, opensee.io/agentic-ai and opensee.io/news 2025 year in reviewread 2026-10-05
Triggers & Channel Coverage	Full
Agensee monitors the firm's data across millions of data points and flags anomalies in seconds without being asked. Opensee does not say how monitoring is configured or where alerts go. It also produces a data quality report every day on its own. SourceOpensee, opensee.io/agentic-ai and opensee.io/videos Automate daily risk analysis with Agenseeread 2026-10-05
Model Flexibility & Routing	Full
Customers can connect their own LLM, and Agensee supports Amazon Bedrock, Google Vertex and internal firm models. The model plans in its own zone, and the semantic layer turns that plan into typed, deterministic operations before anything runs. SourceOpensee, opensee.io/agentic-airead 2026-10-05
APIs / SDKs / MCP Extensibility	Partial
Customers can connect Agensee to their own agents through MCP or Opensee's low code APIs. The documentation sits behind a login, and no public endpoint list or MCP reference is available. Customers can also add their own user defined functions and analytics to the agent's toolbox. SourceOpensee, opensee.io/agentic-airead 2026-10-05
Testing, Debugging & Optimization	Partial
When Agensee flags an anomaly, it corrects the data where it can while the run is going. There is no test set, no accuracy measurement and no check before a change goes live. Every result can be reproduced. SourceOpensee, opensee.io/agentic-airead 2026-10-05
Browser / Computer-use	Not documented
The agent does not operate a browser or a desktop. Agensee works through queries and tool calls on the data platform, and execution stays inside a sandbox that blocks access to the operating system. SourceOpensee, opensee.io/agentic-airead 2026-10-05

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Not published; demo on request

Cost watchouts

Running on the customer's own cloud, on premises or a hybrid cluster carries infrastructure cost, and model usage on Bedrock, Vertex or an internal model is billed by that provider; both are inferences, as Opensee publishes no commercial terms.

Variable cost rationale

No billing unit is published, so exposure is unknown; data volume and deployment scope are plausible drivers, which is an inference.

Sales call required

Yes, required for paid access

Free / trial

No free tier or trial; demo on request

Lowest paid plan

Not publicly listed.

Key ambiguities

No price, plan or billing unit is published, and the documentation is behind a login.

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Opensee

The closest documented capability profiles to Opensee among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Tellius12.0 / 14Fuller documented coverage on Workflow Orchestration and Security, Identity & Governance
ThoughtSpot12.0 / 14Fuller documented coverage on Workflow Orchestration and Security, Identity & Governance
Zenlytic11.0 / 14Fuller documented coverage on Workflow Orchestration and Security, Identity & Governance
Actian AI Analyst9.5 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility and Testing, Debugging & Optimization
Datafold11.5 / 14Fuller documented coverage on Security, Identity & Governance and Prebuilt Agents, Templates & Packs
Hex12.5 / 14Fuller documented coverage on Workflow Orchestration and Security, Identity & Governance

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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Data confidence: high

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