agent · workflow
Nanonets vs Stack AI
55 fields both were evaluated on, 30 of them different — including where one discloses something the other does not. Every value links to the document it came from. 25 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Nanonets | Stack AI |
|---|---|---|
| Audit trail· | Audit logs stated alongside SSO, private deployment and data residency “SSO, audit logs, private deployment, data residency”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | audit logs, and more “Security and Governance Feature controls, audit logs, and more”www.stack.ai · checked Aug 1, 2026 |
| Explainability· | States every agent run is traceable, auditable, and explainable, scoped by RBAC, implying decisions can be traced to their source rules. “Every agent run in the context graph is traceable, auditable, explainable, and runs on RBAC scopes.”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
| Runtime governance· | Enforces per-team budgets, API quotas, and rate limits at runtime with real-time cost dashboards, alongside RBAC scoping of agent authority. “Usage quotas & rate limits Per-team budgets and API quotas with real-time cost dashboards. No surprises.”nanonets.com · checked Sep 2, 2026 | Feature controls, audit logs, and more “Security and Governance Feature controls, audit logs, and more”www.stack.ai · checked Aug 1, 2026 |
| Permission scopes· | Role-based access with fine-grained permissions scoped per workspace, agent and data source “Fine-grained permissions per workspace, agent, and data source.”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | no public information www.stack.ai · checked Aug 1, 2026 |
| Compliance certifications· | SOC 2 Type II claimed, alongside GDPR and ISO 27001. Self-declared; no certificate or auditor named. “SOC 2 Type II Certified for ongoing security controls. GDPR Aligned with EU data protection laws. ISO 27001 Compliant with global ISMS standards.”nanonets.com · checked Aug 2, 2026 | “HIPAA Secure, certified handling of sensitive health information. Healthcare 001 GDPR Advanced privacy standards for the protection of personal data. Europe 002 SOC 2 Type II Verified security practices for enterprise-grade data protection. SECURITY 003 ISO 27001 Global excellence in information security management. global 004”www.stack.ai · checked Aug 1, 2026 |
| Regulatory alignment· | States alignment with GDPR / EU data-protection law requirements. “GDPR Aligned with EU data protection laws.”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
Agency
| Field | Nanonets | Stack AI |
|---|---|---|
| Autonomy level· | Vendor states 94% of complex, document-heavy processes are automated, with 6% left for human judgment (self-reported) “94% of complex, document-heavy processes, automated. 6% left for human judgment.”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | no public information www.stack.ai · checked Aug 1, 2026 |
| Human oversight· | Low-confidence extractions are routed to human review “Human review on low confidence”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | Integrate human oversight into cricial decision points “Human in the Loop Integrate human oversight into cricial decision points”www.stack.ai · checked Aug 1, 2026 |
| Goal complexity· | Describes its agents as completing work end-to-end -- reading inputs, applying business rules, and posting decisions -- a multi-step process, not a single action. “Agents complete the work end-to-end — reading inputs, applying your rules, and posting decisions into your systems of record.”nanonets.com · checked Sep 2, 2026 | “Go from time-consuming process to working agents in minutes”www.stack.ai · checked Aug 1, 2026 |
| Action space· | Extracts structured data from invoices, purchase orders, bills of lading, and other business documents “Extract structured data from the documents behind your processes, like invoices, POs, bills of lading.”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | read, write, and execute tasks within your existing systems. “AI agents built on StackAI can read, write, and execute tasks within your existing systems.”www.stack.ai · checked Aug 1, 2026 |
| Operating environment· | Operates embedded within enterprise systems (ERP/finance, procurement, supply chain, healthcare) rather than as a standalone chat interface. “Agents run on context graphs that connect every document, system, rule. Your workflows across finance, operations, healthcare close without a human.”nanonets.com · checked Sep 2, 2026 | your existing systems. “AI agents built on StackAI can read, write, and execute tasks within your existing systems.”www.stack.ai · checked Aug 1, 2026 |
| Initiative· | States confidence scores determine when an agent proceeds autonomously versus escalating to a human, implying it can act without a fresh prompt each time. “Confidence scores decide when the agent acts autonomously and when it asks a human.”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
Safety
| Field | Nanonets | Stack AI |
|---|---|---|
| Data handling· | States customer data is encrypted with AES-256 at rest and TLS 1.3 in transit, with support for customer-managed keys (BYOK). “Encryption at rest & in transit AES-256 at rest, TLS 1.3 in transit. BYOK supported for customer-managed keys.”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
Practicality
| Field | Nanonets | Stack AI |
|---|---|---|
| Pricing model· | Offers a free tier with $50 in trial credits (no card required) suggesting a usage/credit-based pricing structure alongside enterprise plans. “Get started for free $50 free credits, no card required.”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
| Availability· | no public information nanonets.com · checked Sep 2, 2026 | |
| Deployment options· | Offers private VPC, single-tenant cloud, or on-premise deployment options. “Private deployment VPC, single-tenant cloud, or on-prem. Choose your infra and network policies.”nanonets.com · checked Sep 2, 2026 | Multi-tenant, VPC, on-premise “Deploy Anywhere Multi-tenant, VPC, on-premise”www.stack.ai · checked Aug 1, 2026 |
| Integrations· | Delivers extracted data to ERP, CRM, or database systems (example shown delivering to SAP) “Delivered to your ERP, CRM, or database”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | 100+ enterprise integrations “With 100+ enterprise integrations, AI agents built on StackAI can read, write, and execute tasks within your existing systems.”www.stack.ai · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations |
| Supported regions· | Lets customers pin data processing to specific regions (US, EU, or APAC) so data stays within that geographic boundary. “Data residency Pin data processing to US, EU, APAC regions. Customer data never leaves your boundary.”nanonets.com · checked Sep 2, 2026 | “GDPR Advanced privacy standards for the protection of personal data. Europe”www.stack.ai · checked Aug 1, 2026 |
| Support model· | no public information nanonets.com · checked Sep 2, 2026 | “White-Glove Experience Dedicated support from AI experts”www.stack.ai · checked Aug 1, 2026 |
Foundation models
| Field | Nanonets | Stack AI |
|---|---|---|
| Base models· | Uses its own proprietary model, Nanonets OCR-3, for the core data-extraction task, claimed as the most accurate such model available. “Nanonets OCR-3, our proprietary model, is the most accurate data extraction model in the world, making the rest of your pipeline safe to automate.”nanonets.com · checked Sep 2, 2026 | Claude Sonnet 4.5 “LLM Anthropic Use LLM to identify and pull key financial indicators and create a summary. PROMPT Extract key financial figures from the uploaded report, including revenue, profit, operating expenses, and cash flow. Present the results in a summary. Claude Sonnet 4.5”www.stack.ai · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations |
| Model provider· | Supplies its own in-house model (Nanonets OCR-3) rather than relying on an external model provider for core extraction. “Nanonets OCR-3, our proprietary model, is the most accurate data extraction model in the world, making the rest of your pipeline safe to automate.”nanonets.com · checked Sep 2, 2026 | Anthropic “LLM Anthropic”www.stack.ai · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations |
| Model swappable· | no public information nanonets.com · checked Sep 2, 2026 | “LLM Agnostic Deploy the best-performing model for every specific task”www.stack.ai · checked Aug 1, 2026 |
Ecosystem
| Field | Nanonets | Stack AI |
|---|---|---|
| Protocols supported· | Supports interoperability via the Model Context Protocol (MCP) alongside native retrievers and a REST/GraphQL API, plus integration with major agent platforms. “Point the agents your teams already run at Nanonets through an MCP server, native retrievers, or plain REST/GraphQL API.”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
| Tool use· | Connects to external systems and communication tools (Slack, Zoom, Teams, email) as well as ERP/finance systems to extract information for agent decisions. “Connect your systems Nanonets connects to Slack, Zoom, Teams, email, all the places where your team's unwritten rules and precedents live, and extracts them.”nanonets.com · checked Sep 2, 2026 | read, write, and execute tasks within your existing systems. “AI agents built on StackAI can read, write, and execute tasks within your existing systems.”www.stack.ai · checked Aug 1, 2026 |
| Multi-agent· | Shows multiple distinct named agents (e.g. Freight Audit, AP Clerk, Regional Manager, Business Analyst) participating together within a single workflow run. “Other Agents in this run AP Clerk Agent Scoped access US West · Central Regional Manager Agent Read-only access Americas · Europe Business Analyst Agent Configure access No integrations”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
| API access· | Exposes a REST/GraphQL API for programmatic access, in addition to an MCP server and native retrievers. “REST/GraphQL API”nanonets.com · checked Sep 2, 2026 | no public information www.stack.ai · checked Aug 1, 2026 |
Impact
| Field | Nanonets | Stack AI |
|---|---|---|
| User base· | Reports usage by roughly 35% of the Fortune 500 and over 10,000 enterprises overall. “Used by 35% of the Fortune 500 and 10,000+ enterprises”nanonets.com · checked Sep 2, 2026 | |
| Deployment scale· | States customer deployments typically reach production within weeks rather than quarters, aided by forward-deployed engineers. “Our team of forward-deployed engineers ensure that your AI projects go live in weeks, not quarters.”nanonets.com · checked Sep 2, 2026 | building and running production-ready AI systems. “StackAI provides a reliable foundation for building and running production-ready AI systems.”www.stack.ai · checked Aug 1, 2026 |
| Target sectors· | Named use cases include invoice processing, order processing, shipment reconciliation, and loan processing “Invoice processing Order processing Shipment reconciliation Loan processing”nanonets.com · checked Aug 2, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations | no public information www.stack.ai · checked Aug 1, 2026 |
| High-risk domains· | Explicitly serves healthcare revenue-cycle management and automates insurance claims adjudication, both high-risk/regulated domains. “+ Healthcare RCM”nanonets.com · checked Sep 2, 2026 | “HIPAA Secure, certified handling of sensitive health information. Healthcare”www.stack.ai · checked Aug 1, 2026 |
Disclosed by neither
Both Nanonets and Stack AI publish nothing on these 25 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 25 identical table rows. Each is shown with its source check on the individual profiles.
- Documented incidents
- Price point
- Open weights
- Fine-tuning
- Context window
- Open source
- Marketplace presence
- Safety evaluations
- Red teaming
- Safety policy
- Usage restrictions
- Model or system card
- Incident reporting
- Third-party evaluations
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
- Evaluation coverage
Questions
- How do Nanonets and Stack AI compare on autonomy level?
- Nanonets: Vendor states 94% of complex, document-heavy processes are automated, with 6% left for human judgment (self-reported). Stack AI: no public information disclosed.
- How do Nanonets and Stack AI compare on human oversight?
- Nanonets: Low-confidence extractions are routed to human review. Stack AI: Integrate human oversight into cricial decision points.
- How do Nanonets and Stack AI compare on action space?
- Nanonets: Extracts structured data from invoices, purchase orders, bills of lading, and other business documents. Stack AI: read, write, and execute tasks within your existing systems..
- How do Nanonets and Stack AI compare on operating environment?
- Nanonets: Operates embedded within enterprise systems (ERP/finance, procurement, supply chain, healthcare) rather than as a standalone chat interface.. Stack AI: your existing systems..
- How do Nanonets and Stack AI compare on initiative?
- Nanonets: States confidence scores determine when an agent proceeds autonomously versus escalating to a human, implying it can act without a fresh prompt each time.. Stack AI: no public information disclosed.
- How do Nanonets and Stack AI compare on deployment scale?
- Nanonets: States customer deployments typically reach production within weeks rather than quarters, aided by forward-deployed engineers.. Stack AI: building and running production-ready AI systems..