Agentic Index
Opensee vs VantedgeAI (2026)
Both vendors last verified
Opensee and VantedgeAI both put AI agents to work on financial data, for different desks. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Opensee's Agensee is an agentic layer on its risk and trade data platform that plans and runs governed queries and analytics over live financial data and declares each plan before it acts, sold after a demo with no public pricing. VantedgeAI sells to investment funds. Its FundOS reconciles and monitors fund operations with every consequential action approved by the team, under one annual agreement per fund after a scoped proposal and a guided pilot, beside a marketplace of credit analysis agents that build models, valuations and memos from deal documents, open to free sign up. Opensee lets firms connect their own LLM through Bedrock, Vertex or internal models and keeps each agent action versioned in the user's own branch. VantedgeAI gives Claude, Codex or the customer's own agents scoped MCP access to fund context. Choose Opensee for governed analytics over live risk and trade data. Choose VantedgeAI for fund operations and credit analysis.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Opensee and VantedgeAI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Opensee if
- Your analysts need governed queries over live risk and trade data.
- The agent should declare its plan before it acts.
- You want to choose the model behind the analysis.
Choose VantedgeAI if
- You run a fund and want reconciliation and monitoring with every consequential action approved.
- Credit analysis agents should build models, valuations and memos from deal documents.
- Free sign up for the credit agents lets you try before a fund agreement.
| Feature | O Opensee |
V VantedgeAI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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OpenseeIntegrations & Tool Calling 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 |
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VantedgeAIIntegrations & Tool Calling FundOS connects fund books, LP records and portfolio data from Goldman Sachs, Morgan Stanley, Interactive Brokers, Bloomberg, Salesforce, QuickBooks, SharePoint and Google Drive, and its agents reconcile NAV, capital accounts, fees, expenses and waterfalls against those connected records. Xero is connected as well, and onboarding works against the existing stack with no migration project. SourceVantedgeAI, vantedgeai.com and fundos.vantedgeai.com/pricingread 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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OpenseeWorkflow Orchestration 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 |
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VantedgeAIWorkflow Orchestration FundOS runs fixed product workflows for fund accounting, investor operations, risk, fundraising, transactions and compliance, and the credit product offers separate single task agents. VantedgeAI describes no multi step flow that a customer builds or chains. FundOS supports private equity, venture, credit and hedge fund setups. SourceVantedgeAI, vantedgeai.comread 2026-10-05 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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OpenseeTriggers & Channel Coverage 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 |
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VantedgeAITriggers & Channel Coverage Portfolio monitoring tracks loan portfolios with AI powered alerts, and FundOS agents monitor fund operations against current data, so work reaches the agents without a person starting it. VantedgeAI does not name the alert channels. The credit product also offers real time alerts and bond screeners. SourceVantedgeAI, pc.vantedgeai.com and vantedgeai.comread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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OpenseeKnowledge Grounding & RAG 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 |
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VantedgeAIKnowledge Grounding & RAG The credit agents parse the firm's financial, legal and client documents with ontology based frameworks and vector search, map the extracted data into the firm's own Excel models or industry templates, and cite the source page for each figure. They take Excel, PDF and presentation files, and processing takes under 5 minutes. SourceVantedgeAI, pc.vantedgeai.comread 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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OpenseeMemory & State Persistence 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 |
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VantedgeAIMemory & State Persistence FundOS agents query the fund's current records, which serve as the system of record. Training models on the firm's labeled data customizes the model, and VantedgeAI describes no memory an agent keeps from one session to the next. Each proposal keeps a permanent history of its reasoning and decisions. SourceVantedgeAI, vantedgeai.comread 2026-10-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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OpenseeHuman Oversight & Guardrails 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 |
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VantedgeAIHuman Oversight & Guardrails In FundOS the team approves every consequential action: agents show their reasoning before anything moves, and approval gates and evidence requirements apply across the app, MCP and API. Every proposal records when it was prepared, whether its sources were checked, whether a person reviewed it and whether it was authorized. SourceVantedgeAI, vantedgeai.comread 2026-10-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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OpenseeSecurity, Identity & Governance 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 |
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VantedgeAISecurity, Identity & Governance VantedgeAI offers role based access, LP scoped data and encryption with BYOK on request, but states its attestation three ways, as SOC 2 Type I with the report under NDA on FundOS, and as both SOC 2 Type II compliant and SOC 2 readiness on the credit product. There is no SSO, and the FundOS trust page is written for a different product name. Access in FundOS stops at fund level boundaries, and data is encrypted at rest and in transit. SourceVantedgeAI, vantedgeai.com and pc.vantedgeai.comread 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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OpenseeObservability & Auditability 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 |
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VantedgeAIObservability & Auditability FundOS keeps a full audit trail of every agent action, edit, approval and source as a permanent decision history. Each proposal shows when it was prepared, its sources, its review and its authorization status, and the credit product keeps audit logs with page level citations. SourceVantedgeAI, vantedgeai.com and pc.vantedgeai.comread 2026-10-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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OpenseeDeployment & Data Residency 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 |
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VantedgeAIDeployment & Data Residency The credit product runs as multi tenant cloud with isolated workspaces, in the customer's own VPC on AWS, Azure or GCP, or on premises with no cloud access for regulated institutions, and FundOS offers a single tenant deployment with a dedicated database. FundOS onboards against the customer's existing stack with no migration project. SourceVantedgeAI, pc.vantedgeai.com, vantedgeai.com and fundos.vantedgeai.com/pricingread 2026-10-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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OpenseePrebuilt Agents, Templates & Packs 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 |
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VantedgeAIPrebuilt Agents, Templates & Packs The credit product offers a marketplace of named, ready made agents including Data Room Analysis, Research Agent, AI Analyst, High Yield, Structured Credit, 8K, 10Q and 10K, TableXtract AI, AutoModel, Valuation Agent and YC Screening Memos. AutoModel fills the firm's Excel templates, formulas and all, and documents are processed in under 5 minutes. FundOS adds its own agent suite across NAV, LP operations, risk, CRM, transactions and compliance. SourceVantedgeAI, pc.vantedgeai.com and vantedgeai.comread 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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OpenseeModel Flexibility & Routing 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 |
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VantedgeAIModel Flexibility & Routing VantedgeAI names no model provider and offers no model choice or routing that a customer can set. Connecting Claude or Codex through MCP brings outside agents in, and training on the firm's labeled data customizes the model without choosing one. AI usage volume is one of the factors in FundOS pricing. SourceVantedgeAI, vantedgeai.com and fundos.vantedgeai.com/pricingread 2026-10-05 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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OpenseeAPIs, SDKs & MCP Extensibility 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 |
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VantedgeAIAPIs, SDKs & MCP Extensibility FundOS gives Claude, Codex or the customer's own agents scoped MCP access to query current fund context and propose actions into the operating queue, with connection code shown on the page, and the Enterprise agreement includes MCP and REST API access. There is no public endpoint reference. The MCP server uses the SSE transport at fundos.vantedgeai.com/mcp/sse. Outside agents inherit the user's scope, propose write backs for approval and leave the same audit trail as FundOS's own agents. SourceVantedgeAI, vantedgeai.com and fundos.vantedgeai.com/pricingread 2026-10-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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OpenseeTesting, Debugging & Optimization 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 |
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VantedgeAITesting, Debugging & Optimization Neither product has a test set, accuracy measurement or evaluation of agent output. Benchmarking risk factors is an analysis output. Outputs carry page level citations so people can check figures against the source. SourceVantedgeAI, pc.vantedgeai.comread 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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OpenseeBrowser & Computer Use 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 |
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VantedgeAIBrowser & Computer Use Neither product operates a browser or desktop. Agents work through connected systems such as brokers, fund administration tools and document stores. SourceVantedgeAI, vantedgeai.com and pc.vantedgeai.comread 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | O Opensee |
V VantedgeAI |
|---|---|---|
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Entry price Lowest public entry point |
Not published; demo on request | Not published; FundOS is one annual agreement per fund after a scoped proposal |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
— | FundOS: one annual agreement per fund, scoped by fund structure and strategy, required integrations, expected AI usage and document volumes, and team size |
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Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
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