agent · workflow
ArchiLabs vs Nanonets
55 fields both were evaluated on, 27 of them different — including where one discloses something the other does not. Every value links to the document it came from. 28 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | ArchiLabs | Nanonets |
|---|---|---|
| Audit trail· | “Every change is tracked automatically with full audit trail for compliance”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Explainability· | “AI generates and iterates designs at speed, but every workflow is deterministic, auditable, and reproducible”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Runtime governance· | “Smart components check themselves. Power budgets, cooling capacity, clearance violations, redundancy policies — all validated in seconds, not hours.”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Permission scopes· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Compliance certifications· | “Every change is tracked automatically with full audit trail for compliance”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Regulatory alignment· | no public information www.archilabs.ai · checked Aug 4, 2026 | States alignment with GDPR / EU data-protection law requirements. “GDPR Aligned with EU data protection laws.”nanonets.com · checked Sep 2, 2026 |
Agency
| Field | ArchiLabs | Nanonets |
|---|---|---|
| Autonomy level· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Human oversight· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Goal complexity· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Action space· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Operating environment· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Initiative· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
Safety
| Field | ArchiLabs | Nanonets |
|---|---|---|
| Data handling· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
Practicality
| Field | ArchiLabs | Nanonets |
|---|---|---|
| Pricing model· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Deployment options· | “Web Native platform”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Integrations· | “export back into the BIM stack your team already uses”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Supported regions· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
Foundation models
| Field | ArchiLabs | Nanonets |
|---|---|---|
| Base models· | “AI can generate them from plain English”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Model provider· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
Ecosystem
| Field | ArchiLabs | Nanonets |
|---|---|---|
| Protocols supported· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Tool use· | “Python-Native Automation The entire platform is built around Python as a first-class interface. Components are Python classes. Automation workflows are Python scripts.”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| Multi-agent· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| API access· | “Embeddable SDK Embed design automation inside your platform Add ArchiLabs design canvases, smart components, validation rules, pricing events, quote exports, and white-labeled workflows directly into your own application. React API Events”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
Impact
| Field | ArchiLabs | Nanonets |
|---|---|---|
| User base· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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· | no public information www.archilabs.ai · checked Aug 4, 2026 | 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 |
| Target sectors· | “MEP, modular housing, production homebuilders, fire protection, hospitals, campuses, and critical facilities”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | 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 |
| High-risk domains· | “hospitals, campuses, and critical facilities”www.archilabs.ai · checked Aug 4, 2026 Not in our latest capture. We captured this page again on Sep 10, 2026 and this quote was not there. How we re-check citations | Explicitly serves healthcare revenue-cycle management and automates insurance claims adjudication, both high-risk/regulated domains. “+ Healthcare RCM”nanonets.com · checked Sep 2, 2026 |
Disclosed by neither
Both ArchiLabs and Nanonets publish nothing on these 28 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 28 identical table rows. Each is shown with its source check on the individual profiles.
- Documented incidents
- Price point
- Availability
- Support model
- Model swappable
- 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 ArchiLabs and Nanonets compare on autonomy level?
- ArchiLabs: no public information disclosed. Nanonets: Vendor states 94% of complex, document-heavy processes are automated, with 6% left for human judgment (self-reported).
- How do ArchiLabs and Nanonets compare on human oversight?
- ArchiLabs: no public information disclosed. Nanonets: Low-confidence extractions are routed to human review.
- How do ArchiLabs and Nanonets compare on goal complexity?
- ArchiLabs: no public information disclosed. Nanonets: 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..
- How do ArchiLabs and Nanonets compare on action space?
- ArchiLabs: no public information disclosed. Nanonets: Extracts structured data from invoices, purchase orders, bills of lading, and other business documents.
- How do ArchiLabs and Nanonets compare on operating environment?
- ArchiLabs: no public information disclosed. Nanonets: Operates embedded within enterprise systems (ERP/finance, procurement, supply chain, healthcare) rather than as a standalone chat interface..
- How do ArchiLabs and Nanonets compare on initiative?
- ArchiLabs: no public information disclosed. 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..