How much does Obin AI cost?

No public pricing; enterprise sales led for regulated financial institutions. Deployments reportedly move from pilot to production in weeks.

Does Obin AI have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Obin AI publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The control surface is deep and customer facing, but no certificate is published. Role based permissions govern who can configure, ship or suspend a Robin, safety switches are built into every agent, thresholds, escalation paths and guardra. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Obin AI be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Obin AI 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 customer environment is the deployment model, stated on both product pages and in the platform page's own metadata: agents are configured, proved and operated inside the firm's cloud, on the firm's data, within its governed environment,. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Obin AI give you tracing and observability into agent runs?

Full under the Agentic Index verification standard. Obin AI 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: Any action a Robin takes can be traced back to the inputs, policies and calculations behind it, so that a regulator asking questions gets a defensible answer, and the audit trail is written into the firm's existing audit log infrastructure. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Obin AI

Q: Who is Obin AI for?

banks, asset managers, private credit funds, insurers, financial institutions

Q: What are the best alternatives to Obin AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Obin AI among enterprise operations agents are Orbio, Auditoria, Pasito, RedOwl. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Obin, Robin, Robin agents

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Enterprise operations agentindependentVerified 2026-09-07

Entry priceContact for pricingFull pricing detail

Agentic AI workforce for financial institutions that runs origination, underwriting, monitoring, and fraud workflows end to end with regulatory grade auditability and institutional memory.

Obin AI builds an agentic workforce for regulated financial institutions, with an initial wedge in private credit and further deployments across asset and wealth management and insurance. Its agents, which the company calls Robins, are configured, proved and operated inside the customer's own cloud on the customer's data.

Configuration is where a firm's intellectual capital is encoded: subject matter experts ingest contracts, credit policies, workflow documentation and the historical decisions the firm's best people learned from, and encode its policies, risk thresholds and decision frameworks into a foundational layer every agent inherits, setting the thresholds, escalation paths and guardrails for each one. Teams start from pre-configured templates in a catalog and adapt them before shipping.

Proving is unusually rigorous for the category: each agent is tested against the firm's own evaluation set built from edge cases and disputed clauses, every intermediate reasoning step is validated with deterministic repeatable scoring so a failed step is re-reasoned, evaluations run continuously against production traffic to catch drift and regressions, and agents are versioned like production software with named releases and rollback.

In operation, any action traces back to the inputs, policies and calculations behind it so a regulator gets a defensible answer, the audit trail writes into the firm's existing audit log infrastructure, role based permissions govern who can configure, ship or suspend an agent, and safety switches are built into every agent. Named workflows run first pass diligence from source documents to an investment committee memo, track covenants and market signals continuously across a portfolio, answer LP exposure questions from live data, and surface comparables from prior deals.

In production a private credit fund with over $500 billion processes more than a million loan notices a year on the platform, with an agent validating each notice against the credit agreement, posting updates and escalating exceptions. Founded in New York by Apoorv Saxena, former Head of AI at JPMorgan, and Dr Valliappa Lakshmanan, formerly of Google and Silver Lake, Obin emerged from stealth in March 2026 with $7 million in seed funding led by Motive Partners, with Fei-Fei Li and Lukasz Kaiser among its angel investors. It is sold by demo and publishes no pricing, no security certification, and no public API.

Vendor details

Canonical URL

https://www.obin.ai

Funding status

Seed of $7M led by Motive Partners (emerged from stealth March 18, 2026), with angel investors and advisors Dr. Fei-Fei Li and Lukasz Kaiser. New York based. Co-founders Apoorv Saxena (CEO, former Head of AI at JPMorgan; led Google Cloud AI products including Translate and Contact Center AI) and Valliappa Lakshmanan (CTO, former Google and Silver Lake, author of several AI books). Clients reportedly represent over $1T in assets under management, including a top-five U.S. bank and Pinegrove.

Company status

independent

Use cases & customers

Primary use cases

credit analysis and underwritingdeal origination and due diligenceportfolio and covenant monitoringfraud detectioninvestment memo generation

Target customers

banksasset managersprivate credit fundsinsurersfinancial institutions

Deployment options

SaaScustomer-controlled (open architecture)in-environment

Integrations

Deploys AI workers directly inside a firm's existing workflows, controls, and audit boundaries under an open, no lock in architecture, ingesting legacy documents, CIMs, and multi decade unstructured records. Obin names no specific connectors.

Sources & related URLs

Research sources

https://www.obin.ai/ https://www.businesswire.com/news/home/20260318899337/en/Obin-AI-Emerges-from-Stealth-to-Build-Agentic-Workforce-for-Financial-Institutions https://www.motivepartners.com/insights/the-agentic-workforce-for-finance-why-we-invested-in-obin-ai https://www.finextra.com/newsarticle/47459/google-and-jpmorgan-vets-build-agentic-workforce-for-financial-institutions https://www.pymnts.com/artificial-intelligence-2/2026/obin-builds-ai-for-precision-in-financial-operations/ https://thepaypers.com/fintech/news/obin-ai-raises-usd-7-mln-to-deploy-agentic-ai-workforce-for-financial-institutions

Agentic Index coverage score

9.5 / 14 capabilities · 68%

Integrations & Tool Calling	Partial
Agents act beyond reading: the loan notice agent posts updates after validating a notice against the credit agreement, deal economics are serviced live in the fund's own models, and the platform writes an audit trail into the firm's existing audit log infrastructure. No system of record, ERP, CRM, data provider or document source is named, there is no connector catalog, and no custom tool or authenticated action framework is described; running inside the firm's environment on the firm's data locates the work rather than showing how it reaches outside systems. SourceObin AI, obin.ai/solutions and obin.ai/platformread 2026-09-07
Workflow Orchestration	Full
Agents run defined workflows end to end rather than assisting at the task level: first pass diligence runs from source documents through to an investment committee memo, the loan notice agent reads each notice, validates it against the credit agreement and deal record, posts updates and escalates exceptions, and the platform's own lifecycle is configure, prove, then operate, with every intermediate step of an agent's reasoning validated and a failed step re-reasoned and fixed. Multiple named workflows run in parallel across underwriting, monitoring and reporting under one control plane that manages uptime, throughput and resources. SourceObin AI, obin.ai/solutions and obin.ai/platformread 2026-09-07
Knowledge Grounding & RAG	Full
A maintained structure sits over the customer's own knowledge: the firm's contracts, credit policies, workflow documentation and the historical decisions its best people learned from are ingested, and its policies, risk thresholds and decision frameworks are encoded into a foundational layer that every Robin inherits. Agents draw cross asset signals and comparables from prior deals pulled from disparate sources, with every recommendation traceable to its source, and the loan notice agent validates each notice against the credit agreement and the deal record. The layer persists across agents and deals, scales past any one run and stays queryable. SourceObin AI, obin.ai/platform and obin.ai/solutionsread 2026-09-07
Human Oversight & Guardrails	Full
Gating is configurable per agent: subject matter experts set the thresholds, escalation paths and guardrails for each Robin during configuration, role based permissions control who can configure, ship or suspend an agent, and safety switches are built into all agents, which the co-founder describes as a kill switch on any agentic workflow that strays from the firm's guardrails. In production the loan notice agent escalates exceptions rather than deciding them, and the asset manager deployment surfaces converging risk signals for human review with the team retaining full control. SourceObin AI, obin.ai/platform and obin.ai/solutionsread 2026-09-07
Security, Identity & Governance	Full
The control surface is deep and customer facing, but no certificate is published. Role based permissions govern who can configure, ship or suspend a Robin, safety switches are built into every agent, thresholds, escalation paths and guardrails are set per agent with every configuration decision traceable, the audit trail is written into the firm's own existing audit log infrastructure so compliance can review any agent at any time, and the platform runs inside the firm's governed environment on the firm's data. No SOC 2, SOC 1, ISO 27001 or other certification appears on the platform or solutions pages, and there is no trust or security page and no trust subdomain. SourceObin AI, obin.ai/platformread 2026-09-07
Observability & Auditability	Full
Any action a Robin takes can be traced back to the inputs, policies and calculations behind it, so that a regulator asking questions gets a defensible answer, and the audit trail is written into the firm's existing audit log infrastructure for compliance to review at any time. Every configuration decision is traceable, agent traces are linked to user actions and eventual outcomes, and the operate view carries proof of the work performed and the outcome it produced alongside uptime and throughput. On the solutions page every recommendation is traceable to its source. That reconstructs why an agent acted rather than reporting that it did. SourceObin AI, obin.ai/platform and obin.ai/solutionsread 2026-09-07
Memory & State Persistence	Not documented
Obin describes institutional knowledge that compounds and persists when people rotate off teams, but that resolves into two other things. The durable part is the foundational layer of encoded policies, risk thresholds and decision frameworks that every Robin inherits, which grounds the agents rather than serving as memory. The improving part is an agent that improves over time by continuously learning from user corrections and actual outcomes, which is learning absorbed into the agent, driven by linking agent traces to outcomes in testing. No memory layer with a stated scope and lifetime is documented, and nothing states where memory lives or how a buyer deletes it for one customer. SourceObin AI, obin.ai/platformread 2026-09-07
Deployment & Data Residency	Full
The customer environment is the deployment model, stated on both product pages and in the platform page's own metadata: agents are configured, proved and operated inside the firm's cloud, on the firm's data, within its governed environment, and the solutions page states Robin agents run critical workflows today inside each firm's own secure environment, with a named customer's portfolio risk observability running in the firm's environment. Under Obin's open, no lock in architecture, institutions also retain ownership of models, data and IP. SourceObin AI, obin.ai/platform and obin.ai/solutionsread 2026-09-07
Prebuilt Agents / Templates / Packs	Full
A catalog is named outright: a customer builds an agentic workflow from scratch or starts from a pre-configured template in the catalog, adapted to the firm's policies, thresholds and analytical frameworks before it ships, and the platform page repeats that teams start from pre-configured templates for their regular workflows rather than building each agent from a blank page. Named workflows ship across underwriting, portfolio monitoring, LP reporting and institutional knowledge for asset management, with further sets for wealth management and insurance, and each template does its own job when selected. SourceObin AI, obin.ai/solutions and obin.ai/platformread 2026-09-07
Triggers & Channel Coverage	Full
Two trigger classes are documented. Inbound queue: a named customer's agent processes more than a million loan notices a year, reading each notice as it arrives, validating it and escalating the exceptions, so document arrival drives the work rather than user invocation. State and threshold events: agents continuously track covenants, performance and market signals across the portfolio and surface converging risk signals for review, with the thresholds and escalation paths set per agent at configuration, and an insurance deployment keeps production metrics and goal attainment visible in real time. Evaluations also run continuously against production traffic. SourceObin AI, obin.ai/solutions and obin.ai/platformread 2026-09-07
Model Flexibility & Routing	Not documented
The model behind the agents goes unnamed, and no customer or admin selection of it is documented: the platform page describes configuring, proving and operating agents on the firm's data without losing the firm's IP, and the ownership language in the launch release concerns the customer's models, data and intellectual property rather than a choice of foundation model. A model agnostic architecture claim is a category assertion rather than a documented selection surface. SourceObin AI, obin.ai/platform and obin.ai/solutionsread 2026-09-07
APIs / SDKs / MCP Extensibility	Not documented
Calling Obin from outside has no documented route: no API, SDK or MCP server, no developer surface and no documentation site. Obin's open, no lock in architecture is an ownership and licensing posture rather than an interface, and the audit trail written into the firm's existing log infrastructure runs outward. SourceObin AI, obin.ai/platformread 2026-09-07
Testing, Debugging & Optimization	Full
The customer runs an evaluation harness against its own artifacts. Every Robin agent is tested against the firm's own evaluation set, built from the edge cases, ambiguous language and disputed clauses where generic models fail; every intermediate step of the agent's reasoning is validated with deterministic, repeatable scoring, and a failed step is re-reasoned and fixed; evaluations run continuously against production traffic to catch drift and regressions; and each agent is versioned like production software with named releases, deployment history and rollback. Agent traces, user actions and eventual outcomes are linked to improve the agent over time, a controlled post deployment loop, and what is tested is the customer's deployed agent. SourceObin AI, obin.ai/platformread 2026-09-07
Browser / Computer-use	Not documented
Agents work over the firm's documents, policies and data inside its own environment and reach outward through ingestion and posted updates rather than by operating an interface; no browser, desktop or remote computer control is documented. SourceObin AI, obin.ai/platform and obin.ai/solutionsread 2026-09-07

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

Recent platform changes

2026-08-25·IntegrationsVerified

Obin AI launched new industry-specific AI capabilities built on Google Cloud's Gemini Enterprise for Financial Services. The Obin Financial Agent is now available directly to Gemini Enterprise customers, allowing the agent to run on the same Google Cloud stack that firms already operate.

Bears on: Deployment / data residency

View source

View all 1 change for Obin AI →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

Contact for pricing

not disclosed

What is public

Nothing numeric on price. The site publishes no pricing page and no entry point; every commercial route is Talk to our team. Customer outcome figures are published for named deployments but describe results rather than terms.

Billing mechanics

Not disclosed. No unit, tier or rate appears on any page read.

Variable cost rationale

Enterprise platform scoped by workflows and volume; no public rate card, so exposure is moderate and not precisely determinable, though outcome oriented pricing may tie cost to measurable results.

Additional watchouts

Quote only, and each deployment is configured against the firm's own policies and analytical frameworks, so scope rather than a list rate sets the cost.

Sales call required

Yes, required for paid access

Free / trial

Talk to our team on every route; no free tier or trial published

Lowest paid plan

Not public

Key ambiguities

No public pricing. Whether billing is per workflow, per seat, or per outcome is not disclosed.

Missing data

No price, tier, unit or billing basis is published.

Agentic Index verified 2026-09-07

Official pricing page

Related vendors

Alternatives to Obin AI

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

Orbio9.0 / 14Fuller documented coverage on Integrations & Tool Calling
Auditoria10.5 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
Pasito7.5 / 14A lighter documented profile than Obin AI
RedOwl8.5 / 14Fuller documented coverage on Integrations & Tool Calling
Atomicwork12.0 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing, among others
Beam AI12.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility

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

Compare Obin AI with other vendors →Compare all enterprise operations agents →See where Obin AI ranks →

Data confidence: medium

Head to head

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