Nand AI

What Nand AI does

Nand AI is a San Francisco-based B2B SaaS company that builds a Deterministic Context Engine for enterprise AI, founded in 2023 by Shiraz Zaman (CEO, ex-Microsoft Bing Ads, ex-Lyft AI), Martin Liu (Architect), and Ammar Haris (CTO). The core Magus platform is an execution layer that ingests documents, chats, tickets, emails, and enterprise systems, then reconstructs them into a continuously evolving Enterprise Knowledge Graph that preserves authorship, section hierarchy, versions, timelines, and cross-system relationships. Two proprietary validation layers — a Context Relevance Model that filters content before the LLM and a Response Relevance Model that checks the output after generation — are positioned to reduce hallucinations and produce evidence-backed answers with full provenance. The platform supports 50+ native integrations (Salesforce, ServiceNow, Google Drive, SharePoint, Slack, Teams, Confluence, Jira, Zendesk, Notion, OneDrive, HubSpot) with inherited permissions, and is SOC 2 Type 2 certified with a zero-training guarantee and tenant-isolated architecture.

The product surface comprises the Magus platform, the OneSearch unified enterprise search product (launched October 2025), and a catalog of vertical-specific agents. Sales-and-revenue agents (CPQ, RFP, DDQ & Security) serve proposal and compliance workflows; financial-intelligence agents (Market-Fit Analyst, DDQ & Due Diligence, Portfolio Compliance, Investment Research, Internal Knowledge & Onboarding, Risk & Governance) target investment teams; and industrial/manufacturing agents (Proposal, Security & Compliance, Supply Chain Resilience, Predictive Maintenance Orchestrator, Adaptive Quality Control, Autonomous Sourcing) target industrial customers. Published pricing is tiered at $299/year (Standard), $499/year (Professional), and $999/year (Enterprise), with custom pricing for large deployments and a free self-serve signup. GTM combines enterprise field sales (Request Demo, pilot programs with direct engineering access) with a product-led self-serve motion, targeting B2B organizations of more than 100 employees with complex sales cycles and distributed knowledge. Nand AI had raised $1,000,000 in seed funding from Sequoia Scout (February 2024) as of the disclosed data, with named customers including Microsoft, Tyfone, Revine Tech, and Dickinson Wright.

Name

Nand AI

Legal name

Nand.AI

Website

https://nand.ai

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Nand AI is a San Francisco-based B2B SaaS company that builds a Deterministic Context Engine and Magus platform, using graph-first architecture with pre- and post-LLM validation to deliver accurate, traceable enterprise AI answers and workflow agents.

Ownership category

akta.pro rank

Product category

Enterprise AI Platform

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

akta.pro secondary industries

LLM/GenAI Guardrails & Safety Controls (policy, filtering, routing) (HDAAAKAD), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

• Enterprise AI platform
• Deterministic context engine
• Enterprise knowledge graph
• AI workflow automation
• RFP response automation

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure

Revenue model

1. SaaS Subscription (Magus Platform): Subscription-based B2B SaaS platform with tiered pricing plans (Standard, Professional, Enterprise). Access to automated processing for Enterprise Search, DDQs, RFPs, and CPQs, AI-powered document analysis and knowledge management, enterprise search and conversational AI capabilities.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels3 records

Core offering

Nand AI builds and sells a Deterministic Context Engine for enterprise AI, delivered through its Magus execution-layer platform. The platform reconstructs enterprise knowledge as a continuously evolving knowledge graph that preserves authorship, hierarchy, versions, timelines, and cross-system relationships, then powers unified search (OneSearch) and specialized AI agents for sales, compliance, financial, and industrial workflows. Customers subscribe to Magus on tiered annual SaaS plans and deploy agents such as CPQ, RFP, DDQ, Market-Fit Analyst, Due Diligence, Portfolio Compliance, Proposal, and Supply Chain Resilience.

Product overview

Nand AI offers a platform-plus-modules architecture centered on its Deterministic Context Engine. The core Magus platform is the execution layer powered by the Context Engine, which reconstructs complete meaning across enterprise data by building a living knowledge graph. Built on Magus, OneSearch provides unified enterprise search that synthesizes verified answers rather than returning links. Multiple specialized AI agents extend the platform: CPQ Agent, RFP Agent, and DDQ & Security Agent handle enterprise sales and compliance workflows; financial-specific agents (Market-Fit Analyst, DDQ & Due Diligence, Portfolio Compliance, Investment Research, Internal Knowledge & Onboarding, Risk & Governance Intelligence) serve investment teams; and industrial agents (Proposal, Security & Compliance, Supply Chain Resilience, Predictive Maintenance, Adaptive Quality Control, Autonomous Sourcing) serve manufacturing and supply chain operations. The platform achieves 90% recall and 95% accuracy through its graph-first architecture with pre- and post-LLM validation layers.

Differentiator

Problem solved

Functional benefit

Brands

• Magus: The execution layer powered by the Nand AI Context Engine that delivers accurate answers, agents, and automation across enterprise workflows.
• OneSearch

Products and services

• Magus Core execution-layer SaaS platform powered by the Nand AI Context Engine that delivers accurate answers, AI agents, and automation across enterprise workflows. Magus securely connects to enterprise systems and reconstructs full context across documents, authors, and timelines to generate evidence-backed responses.
• OneSearch Unified enterprise search product that reconstructs full context across documents, chats, tickets, and systems and synthesizes a single evidence-backed answer. Reports 6x better recall, approximately 40 percentage points better accuracy, and approximately 50 percentage points better comprehensiveness versus traditional search.
• CPQ Agent Precision engine for quote-to-cash workflows that interprets requirements, applies pricing logic, and generates approval-ready quotes with built-in margin validation and complex pricing guardrails. Targeted at enterprise sales and revenue operations teams.
• RFP Agent Intelligent document system that deconstructs questionnaires, retrieves validated answers from the enterprise knowledge base, and drafts structured responses with knowledge reuse and review flagging for low-confidence areas. Targeted at pre-sales and bid management teams.
• DDQ & Security Agent Compliance control center that responds to security and compliance questionnaires (SOC 2, ISO, GDPR) with answers grounded in verified policies, full audit trails, and clickable citation chains.
• Market-Fit Analyst Agent Automates early-stage investment screening by cross-referencing new deal flow against historical success and failure archives and flagging deviations from core investment criteria. Targeted at financial services and investment teams.
• DDQ & Due Diligence Agent Accelerates investment diligence by parsing DDQs, data rooms, and disclosures and flagging red risks based on historical deal outcomes.
• Portfolio Compliance Agent Monitors internal communications for governance risk with contextual understanding, tracking MNPI references and mapping activity to internal compliance policies.
• Investment Research Assistant Agent Supports deep investment research by connecting analyst notes, market research, and internal commentary to produce grounded summaries with full provenance.
• Internal Knowledge & Onboarding Agent Preserves and scales institutional knowledge inside investment firms by answering questions on internal processes, tools, and best practices grounded in approved firm documentation.
• Risk & Governance Intelligence Agent Surfaces hidden exposure across investment activity by connecting deal activity to internal risk thresholds and flagging inconsistencies across approvals and execution.
• Proposal Agent Automates complex technical proposals for industrial and manufacturing buyers by matching buyer-added conditions against live engineering specifications and BOMs and validating technical feasibility before submission.
• Industrial Security & Compliance Agent Answers ISO, NIST, SOC 2, and customer security questionnaires with audit-ready accuracy for industrial and manufacturing organizations by pulling evidence from internal audits, policies, and control documents.
• Supply Chain Resilience Agent Anticipates supply chain disruptions for industrial operations by monitoring supplier performance, logistics signals, and external risk factors and connecting external events to internal inventory and production timelines.
• Predictive Maintenance Orchestrator Prevents industrial downtime by analyzing IoT logs, service manuals, and historical maintenance records to predict failure windows and automatically schedule service and order parts.
• Adaptive Quality Control Agent Finds manufacturing defects and traces root cause across the production chain by linking vision data, shift logs, and supplier batches to identify systemic quality issues.
• Autonomous Sourcing Agent Manages RFQs and supplier selection for industrial buyers using real demand context, issuing RFQs based on live production requirements and comparing suppliers using performance history and contract terms.

Quantifiable outcome

• 6x better recall than traditional retrieval-based search
• +5 more outcomes

Named customers5 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration12 records

AI capability5 records

Feature7 records

Partnerships

15 partnerships are on record, tiered core.

• GooglecoreTechnology or IntegrationGoogle appears as a trusted customer logo and integration partner. Nand AI integrates with Google Drive and OneDrive for enterprise data connectivity.
• MicrosoftcoreTechnology or IntegrationMicrosoft appears as a trusted customer logo and integration partner. Integration with Microsoft Teams, SharePoint, and OneDrive. Testimonial from Hiren Patel, Principal Product Manager at Microsoft.
• LinkedIncoreTechnology or IntegrationLinkedIn appears as a trusted customer logo on the Nand AI website.
• Lockheed MartincoreTechnology or IntegrationLockheed Martin appears as a trusted customer logo. Advisor Craig Martell is CTO of Lockheed Martin, providing strategic guidance.
• Google DrivecoreTechnology or IntegrationIntegration with Google Drive for secure document connectivity. Part of 50+ enterprise data source integrations.
• SalesforcecoreTechnology or IntegrationIntegration with Salesforce for CRM connectivity. Part of 50+ enterprise data source integrations supporting deal context and customer intelligence.
• ServiceNowcoreTechnology or IntegrationIntegration with ServiceNow for enterprise ticketing and workflow systems. Part of 50+ enterprise data source integrations.
• SlackcoreTechnology or IntegrationIntegration with Slack for collaboration and communication data. Part of 50+ enterprise data source integrations.
• Microsoft TeamscoreTechnology or IntegrationIntegration with Microsoft Teams for enterprise collaboration. Part of 50+ enterprise data source integrations.
• HubSpotcoreTechnology or IntegrationIntegration with HubSpot for CRM and marketing automation. Part of 50+ enterprise data source integrations.
• ConfluencecoreTechnology or IntegrationIntegration with Confluence for enterprise wiki and documentation. Part of 50+ enterprise data source integrations.
• JiracoreTechnology or IntegrationIntegration with Jira for project tracking and issue management. Part of 50+ enterprise data source integrations.
• ZendeskcoreTechnology or IntegrationIntegration with Zendesk for customer support ticketing. Part of 50+ enterprise data source integrations.
• NotioncoreTechnology or IntegrationIntegration with Notion for documentation and knowledge management. Part of 50+ enterprise data source integrations.
• OneDrivecoreTechnology or IntegrationIntegration with OneDrive for Microsoft document storage. Part of 50+ enterprise data source integrations.

Scale indicators11 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Glean Technologies: Glean is the most direct competitor in enterprise AI-powered search and knowledge management. Both companies index across SaaS apps (Salesforce, Slack, ServiceNow, etc.), use retrieval architectures to surface answers, and target enterprise B2B buyers with PLG-to-enterprise motions.
• Hebbia: Hebbia focuses on AI agents for knowledge work in financial services and professional services, with a similar emphasis on document-grounded answers and audit trails. Competes with Nand AI's financial intelligence agent suite (Market-Fit Analyst, DDQ & Due Diligence, Portfolio Compliance).
• Sana: Sana provides an enterprise AI knowledge platform that combines search, learning, and automation with deep app integrations. Overlaps with Nand AI's Magus platform and OneSearch product on enterprise-wide knowledge access and agentic workflows.
• Guru: Guru is an enterprise knowledge management platform with browser-extension-based delivery and AI-powered suggestions. Overlaps with Nand AI on permission-aware knowledge access and reducing time spent searching for information, though Guru's delivery model is lighter than Nand AI's agent platform.

Emerging players

• Coda AI: Coda combines documents, spreadsheets, and apps with embedded AI assistance. Its AI features (Coda Brain) overlap with Nand AI's knowledge-management use case, particularly for cross-system retrieval within collaborative documents, though Coda is more focused on productivity authoring than graph-grounded agent execution.
• Notion AI: Notion AI adds AI search and generation to Notion's workspace product. Notion is also a Nand AI integration target. Partial overlap with Nand AI's company-wide knowledge management segment but lacks the cross-system graph and enterprise permission inheritance.
• Box AI: Box AI adds AI-powered search, summarization, and content generation to Box's enterprise content management platform. Partial overlap with Nand AI's document-grounded retrieval and provenance, particularly for compliance-sensitive document workflows.

Broad incumbents

• Microsoft Copilot: Microsoft bundles Copilot across Microsoft 365, Teams, SharePoint, and Dynamics, and is also a Nand AI customer/integration partner. Copilot competes head-on with Magus and OneSearch in enterprise search and agentic workflows while leveraging bundled enterprise distribution that a standalone vendor cannot match.
• Google Gemini for Workspace: Google's Gemini integration across Workspace, Drive, and Cloud competes with Nand AI's cross-system search and agent capabilities. Bundled pricing and native indexing of Google Workspace content (a key Nand AI integration source) make Google a structural threat to standalone enterprise AI search vendors.
• Palantir Foundry: Palantir Foundry provides an enterprise data and decision platform with permission-aware ontology, agent workflows, and industrial/manufacturing deployments. Overlaps with Nand AI's vertical industrial and financial agent suites in heavy-asset, compliance-driven environments where audit trails and provenance are required.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Nand AI