How much does Rivvun AI cost?

Pricing is not published; the routes in are a Value Scan request and an executive briefing, with commercial terms set through enterprise sales.

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

Full under the Agentic Index verification standard. Rivvun 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: Attestation and access controls are both on the architecture page: the attestation is SOC 2 Type I, stated as audited controls in hand, and the customer-facing controls are enterprise SSO, customer-controlled keys, tenant isolation and zero. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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

Full under the Agentic Index verification standard. Rivvun 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: The audit trail is the execution log by the vendor's own formulation: agent reasoning streams in real time with intermediate steps and evidence, every workflow generates a structured record of P&L impact, actions, approvals and evidence in. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Rivvun AI require human approval before an agent acts?

Full under the Agentic Index verification standard. Rivvun AI publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: The vendor's own gate surface with customer-defined scope: approval packs and decision prompts arrive with full context assembled automatically, stateful human-in-the-loop pauses, reviews and resumes execution with no loss of fidelity, poli. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Rivvun AI

Q: What are the best alternatives to Rivvun AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Rivvun AI among enterprise operations agents are Byron, Fieldguide, Ironclad, Legora. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Rivvun, Rivvun AI Inc.

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Enterprise operations agentindependentVerified 2026-09-07

Entry priceContact for pricingFull pricing detail

Autonomous execution layer for enterprise P&L integrity from Icertis veterans: nine named Steward and Sentinel agents verify spend pre-commitment and enforce revenue terms deal-to-cash, on an ontology-backed knowledge graph, YAML playbook DAGs, an MCP-native connector mesh, customer-defined approval gates, and stated SOC 2 Type I.

Rivvun AI Inc. is a Seattle company, with offices in Singapore and Pune, building an autonomous execution layer for enterprise finance that detects revenue and spend leakage in real time and runs governed corrective actions inside a company's own systems.

Founded in 2026 by former Icertis executives Anand Veerkar and Niranjan Umarane with Patrick Linton, and backed by a $7.55 million oversubscribed seed co-led by Sitara Capital and 3one4 Capital, it ships nine named agents in two families: the Stewards on the buy side, Invoice, Spend, Leakage, Margin and Supplier, verifying spend against entitlements and operational evidence before it commits, and the Sentinels on the sell side, Renewal, Revenue, Customer and Margin Bridge, enforcing pricing, milestones and commitments from deal close to cash collection.

The platform's Commercial Data Foundation normalizes fragmented enterprise data into an ontology-backed knowledge graph preserving lineage, confidence and evidence; declarative YAML playbooks convert SOPs into versioned execution DAGs run by a three-tier agent hierarchy with complexity-based model routing; and an MCP-native connector mesh reaches contracts, CRM, ERP and procurement systems through governed, credential-free access, with a bi-directional API and event surface and plugin-based extensibility.

Oversight is customer-defined: approval packs with auto-assembled context, stateful pause-review-resume, and policy-as-code guardrails determine what runs autonomously, with agent reasoning streamed in real time and every workflow producing a structured record of actions, approvals and P&L impact.

Domain playbooks ship as plugin-isolated vertical units for lifesciences and healthcare, banking, professional services and industrial markets, and production case studies span an $11.2 billion satellite communications supplier consolidation, real-time royalty verification for a global publisher, and regulatory remediation at a major bank. The company states SOC 2 Type I attestation with Type II underway, enterprise SSO and customer-controlled keys; pricing is unpublished, with a Value Scan as the entry route.

Vendor details

Canonical URL

https://rivvun.ai

Subcategory

Finance revenue and spend orchestration

Funding status

Independent, founded in 2026 by Anand Veerkar and Niranjan Umarane, former senior executives at Icertis, alongside serial entrepreneur Patrick Linton. Raised a 7.55 million dollar oversubscribed seed round co led by Sitara Capital and 3one4 Capital. Headquartered in Seattle with an engineering center in Pune, India.

Company status

independent

Use cases & customers

Primary use cases

spend assurance and rebate recoverymargin and revenue leakage defensecontract obligation enforcementtransaction level financial recovery

Target customers

enterprisemid-market

Deployment options

SaaS

Integrations

Installs as a non disruptive overlay on existing ERP, CRM, and procurement systems, reading transaction and commercial obligation data and executing governed corrective actions inside those source systems. No new system of record and no rip and replace, with a value scan against customer data before deployment.

In practice

Your procurement team negotiated rebates and volume commitments that never fully land. Rivvun's Spend Assurance agents verify each dollar against entitlements at the point of decision and recover what would otherwise leak to write offs.

Revenue leaves the P&L between deal close and cash collection through pricing and settlement gaps. Rivvun's Margin Defense agents enforce commitments and pricing integrity across the sell side with an audit ready trail.

A regulated finance team cannot let AI act unsupervised on suppliers. Rivvun runs within policy guardrails, executing autonomously where allowed and routing higher risk recoveries to human review.

Sources & related URLs

Research sources

https://rivvun.ai/ https://www.techcompanynews.com/rivvun-ai-raises-7-55-million-in-seed-funding-round/ https://thenextweb.com/news/rivvun-ai-seed-enterprise-spend-recovery-icertis

Agentic Index coverage score

9.0 / 14 capabilities · 64%

Integrations & Tool Calling	Partial
The integration architecture is documented in depth, an MCP-native tool mesh governing all enterprise integration, pre-built connectors for contracts, CRM, ERP and procurement, plugin-based extensibility where a new integration is a manifest, and governed data access through policy rather than credentials. Not one target system is named on the site, whether an ERP vendor, a CRM or a procurement platform, so which systems the connectors support is not published. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Workflow Orchestration	Full
A documented composition surface, not just a pipeline: declarative YAML playbooks convert SOPs into versioned execution DAGs with dependency ordering, input contracts and failure policies, a three-tier hierarchy has a supervisor planning, task agents reasoning with tools and sub-workflows executing deterministically, conditional DAG edges branch on real-world outcomes with state checkpointed at every node, and playbooks compile directly to execution plans. Customers encode their own SOPs into the playbook layer. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Knowledge Grounding & RAG	Full
A maintained knowledge graph named first-party: the Commercial Data Foundation maps source data into an ontology-first model through a semantic normalization pipeline, extends it with industry-specific objects and rules, and preserves lineage, confidence, evidence and policy-aware relationships in a knowledge graph with trust controls, the corpus every valuation and recovery action draws on. The consolidated supplier graphs in the production case studies are this layer at work. SourceRivvun AI, rivvun.ai/technical-architecture and rivvun.airead 2026-09-07
Human Oversight & Guardrails	Full
The vendor's own gate surface with customer-defined scope: approval packs and decision prompts arrive with full context assembled automatically, stateful human-in-the-loop pauses, reviews and resumes execution with no loss of fidelity, policy-as-code guardrails are declarative, versioned and rollback-ready, and enterprises define what runs autonomously versus what requires human review, with the bank case study describing remediation executed within the customer's policy guardrails. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Security, Identity & Governance	Full
Attestation and access controls are both on the architecture page: the attestation is SOC 2 Type I, stated as audited controls in hand, and the customer-facing controls are enterprise SSO, customer-controlled keys, tenant isolation and zero-trust execution where agents hold no credentials and every capability is scoped and enforced at runtime, under versioned, rollback-ready policy-as-code. Type II is marked coming soon, and GDPR ready and HIPAA ready are suitability claims rather than certifications. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Observability & Auditability	Full
The audit trail is the execution log by the vendor's own formulation: agent reasoning streams in real time with intermediate steps and evidence, every workflow generates a structured record of P&L impact, actions, approvals and evidence in outcome dashboards, and the knowledge graph preserves lineage and evidence beneath it. The LangGraph checkpointing named on the page is a build dependency; the customer-facing surfaces are the reasoning stream, the outcome records and the lineage. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Memory & State Persistence	Partial
Run-state persistence is documented as a platform property: state is checkpointed at every DAG node and stateful human-in-the-loop pauses, reviews and resumes with no loss of fidelity, durable execution the customer relies on mid-workflow. No memory beyond a run is documented, with no cross-session store, scope, lifetime or deletion path. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Deployment & Data Residency	Not documented
No deployment option is documented: no hosting region, no customer environment, no self-hosted or private topology anywhere on the site, and the inside-the-enterprise-perimeter language describes where corrective actions execute, the customer's source systems, not where the platform hosts. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Prebuilt Agents, Templates & Packs	Full
A browsable catalog of nine named agents in two families, the Stewards, Invoice, Spend, Leakage, Margin and Supplier, and the Sentinels, Renewal, Revenue, Customer and Margin Bridge, each individually anchored on the agents pages, with domain playbooks shipped as plugin-isolated units the architecture page says ship independently, healthcare compliance, invoice validation, KYC onboarding. Plugin isolation is the design, and the production case studies show selective deployment. SourceRivvun AI, rivvun.ai/agents and rivvun.ai/technical-architectureread 2026-09-07
Triggers & Channel Coverage	Full
The trigger surface is documented first-party and customer-usable: a bi-directional API and event surface triggers agents from anywhere and streams outcomes everywhere, transactions fire assessment at the point of decision before spend commits, the Sentinels enforce renewals, milestones and escalations as dated events, and delivery embeds in Slack, Teams, email and ERP portals. SourceRivvun AI, rivvun.ai/technical-architecture and rivvun.airead 2026-09-07
Model Flexibility & Routing	Partial
Disclosed vendor-side routing across models: complexity-based model routing selects right-sized AI per task across tiers, balancing cost, latency and capability, the vendor's own architecture page naming the mechanism. The vendor controls the routing, and no customer or admin selection of model is documented anywhere. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
APIs, SDKs & MCP Extensibility	Partial
A bi-directional API and event surface that triggers agents from anywhere and plugin-based extensibility where a new integration is a manifest are both named on the vendor's own architecture page, so the platform is callable from outside by its own description. No publicly documented API reference with authentication and endpoints exists on any vendor surface. The MCP-native mesh is the agents' outbound tooling into enterprise systems. SourceRivvun AI, rivvun.ai/technical-architectureread 2026-09-07
Testing, Debugging & Optimization	Not documented
No evaluation surface for the agents. The Value Scan run against customer data before deployment is the vendor's pre-sales practice, and schema validation at load time with semantic versioning on playbooks is build-time change governance with no readable comparable result. No customer-facing harness, test set, score or release gate on the agents is documented anywhere. SourceRivvun AI, rivvun.ai/technical-architecture and rivvun.airead 2026-09-07
Browser & Computer Use	Not documented
The agents act inside enterprise source systems through the MCP-native connector mesh rather than driving a browser or operating a computer interface; no interface control of any modality is documented anywhere on the site. SourceRivvun AI, rivvun.ai/technical-architectureread 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

Pricing

Contact for pricing

not disclosed

Trial available

What is public

No public rate. Rivvun publishes no list pricing; it offers a Value Scan request and an executive briefing, and routes commercial terms through sales.

Billing mechanics

Not disclosed. Engagements begin with a Value Scan against customer data that estimates recoverable value, followed by a proof of value; no billing unit or rate is published.

Cost watchouts

Because pricing is not disclosed and may combine a platform fee with a recovery share, confirm the split, the attribution method for recovered value, and integration effort across ERP, CRM, and procurement systems.

Variable cost rationale

If priced on recovered value the cost is largely self funding and scales with recoveries, but the exact model is not public and may include a platform fee, so predictability depends on the undisclosed structure.

Additional watchouts

The billing model is not public; ask whether pricing is a platform fee, a share of recovered value or both, and how recovered value is measured and attributed.

Sales call required

Yes, required for paid access

Free / trial

Free value scan estimating recoverable value with no upfront integration; proof of value engagement before contract

Key ambiguities

No entry rate or billing model is published; commercial terms are set through sales after a Value Scan request or an executive briefing.

Agentic Index verified 2026-09-07

Official pricing page

Related vendors

Alternatives to Rivvun AI

The closest documented capability profiles to Rivvun 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.

Byron8.5 / 14Fuller documented coverage on Integrations & Tool Calling
Fieldguide7.5 / 14A lighter documented profile than Rivvun AI
Ironclad9.5 / 14Fuller documented coverage on Integrations & Tool Calling and APIs, SDKs & MCP Extensibility
Legora10.5 / 14Adds documented Deployment & Data Residency
Otel AI8.5 / 14Fuller documented coverage on Integrations & Tool Calling
Traza9.5 / 14Fuller documented coverage on Integrations & Tool Calling and Memory & State Persistence

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

Data confidence: high