Sigma Computing

What it is

Category DescPoint tool (cloud-native business intelligence and analytics platform) ↗

Target UserGeneral-purpose enterprise and mid-market business users, data analysts, and cross-functional teams across industries (including construction, real estate technology, finance, and marketing); not restricted to specific contractor trades or residential versus commercial segments. ↗

OwnershipIndependent (Venture capital-backed private company) ↗

Founded Year2014 ↗

Pricing & cost

Pricing ModelQuote-only / custom pricing (not publicly published on vendor website). Subscription pricing is based on tiered user licenses (View, Act, Analyze, Build / Creator, Explorer, Viewer) and feature tiers (Essential, Business, Enterprise). ↗

Typical CostAccording to procurement data from Vendr, the median annual contract value is $60,500, with overall annual contract ranges between $15,000 and $250,000+. Creator/Build licenses are estimated around $2,000 to $3,500 per user per year. Software aggregator listings cite entry-level starting pricing at $300 per month. ↗

Api Or Integration FeesAPI access and stored procedure/API execution capabilities are included in higher license tiers (such as Act, Analyze, and Build) rather than published as standalone fees. However, live query execution generates separate, adjacent cloud data warehouse compute costs (e.g., Snowflake, Databricks, BigQuery), which commonly account for 20% to 50% of total platform cost of ownership. ↗

Implementation CostProfessional implementation services typically range from $20,000 to $75,000+ (budgeted at 40 to 200+ hours at rates of $200 to $350 per hour), depending on organizational scale and integration complexity. ↗

API & data access

Has ApiYes ↗

Api TypeREST ↗

Api Access GatingAPI access requires generating client credentials (Client ID and Client Secret) through the Sigma Administration portal (Administration > Developer Access) by an Admin account. Access and permissions depend on the organization's subscription tier and user account type permissions. ↗

Api LimitationsRate limits include: auth token endpoint (/v2/auth/token) limited to 1 request per second; export data endpoint (/v2/workbooks/{workbookId}/export) limited to 400 requests per minute; export send endpoint (/v2/workbooks/{workbookId}/send) limited to 100 requests per minute; file download endpoint (/v2/query/{queryId}/download) limited to 400 requests per minute. Workbook exports are capped at 1 million rows per request for CSV/XLSX/JSON formats (requiring pagination using rowLimit and offset for larger datasets). Export download query IDs expire after 1 hour by default (extendable up to 6 hours using resultsValidityTimeMs). ↗

Data Export OptionsSupports on-demand downloads and automated scheduled or conditional exports. Supported file formats include CSV, XLSX, PDF, PNG, and JSON. Export destinations include Email, Slack, Google Drive, Google Sheets, cloud storage, or programmatic API download via download query IDs. ↗

Native AI features

Ai Features SummarySigma Computing is a cloud data analytics and business intelligence workbench rather than specialized field software for trade or construction contractors. As of 2025–2026, its native AI suite focuses on warehouse-native data analysis, visualization, and application building. Key native AI capabilities include Sigma Assistant (GA May 12, 2026, consolidating Ask Sigma and AI Builder), Sigma Agents, AI Query formulas (supporting classification, sentiment analysis, text extraction, and summarization), prebuilt AI Cost Monitoring Templates (GA July 2026), and bidirectional Model Context Protocol (MCP) client and server integration. ↗

Ai DispatchNone native. Sigma Computing is a cloud data analytics platform and does not provide native AI dispatching, technician scheduling, job routing, or CSR call-handling capabilities. ↗

Ai FinanceSigma Computing offers prebuilt AI Cost Monitoring Templates (GA July 2026) to track model usage and spending across OpenAI, Claude, and Snowflake AI functions, as well as AI App templates for budget variance approvals. It does not provide native contractor AP/AR invoicing, automated receipt/OCR ingestion, or trade job-costing engines out-of-the-box (though teams can configure custom LLM data-extraction columns on live warehouse tables). ↗

Ai Assistant Or McpSigma Computing provides both a native AI assistant and extensive Model Context Protocol (MCP) features: 1. Ask Sigma (GA Dec 12, 2024): Natural language query interface with visible, editable chain-of-thought analysis steps. 2. AI Builder & AI Query (Launched Dec 10, 2025): Allows users to build entire dashboards and apps from prompts and execute formula-based LLM queries directly against cloud warehouse data. 3. Sigma Assistant (GA May 12, 2026): A unified, governed AI interface combining Ask Sigma and AI Builder to analyze warehouse data and build apps using natural language while respecting warehouse permissions. 4. MCP Client & Server (Launched Dec 10, 2025; expanded April 21, 2026): Acts as an MCP Client (enabling Ask Sigma to pull context from tools like Google Drive, Confluence, and GitHub) and an MCP Server (exposing live, governed Sigma data models and workbooks directly to external chat assistants like Claude, ChatGPT, Cursor, and Codex). Additionally, Sigma launched a Documentation MCP Server in Beta on Jan 30, 2026. ↗

Integrations & ecosystem

Accounting IntegrationsSigma Computing does not offer direct, native integrations to accounting systems (such as QuickBooks, Sage Intacct, or Foundation) or field/PM tools. As a warehouse-native analytics platform, it queries data directly from cloud data warehouses (e.g., Snowflake, Databricks, Google BigQuery, PostgreSQL). Data from accounting and field PM applications must be ingested into a cloud data warehouse first using third-party ETL/ELT pipelines (such as Fivetran or Skyvia) or custom data feeds. ↗

MarketplaceSigma Computing maintains a public Partner Directory and App Library featuring consulting, system integration, and technology partners (such as Aimpoint Digital, InterWorks, Analytics8, and phData). Additionally, Sigma Computing is officially available on public cloud marketplaces, including the Microsoft Azure Marketplace and Snowflake Marketplace. ↗

Unified Api SupportNeither Agave nor Merge.dev offers unified-API support or pre-built connectors for Sigma Computing. Agave specializes in construction and trade software integrations, while Merge.dev provides unified APIs across HRIS, accounting, ATS, and CRM platforms. Sigma Computing offers its own native REST API for administrative actions, data exports, and embedded workbook automation rather than connecting via third-party unified API layers. ↗

Accounting fit & implementation

Certified PayrollNot supported natively. Sigma Computing is a cloud business intelligence and analytics platform, not an operational payroll or ERP application, so it does not calculate prevailing wages or generate certified payroll forms (e.g., Form WH-347) natively. ↗

Accounting MethodNot applicable as a transactional general ledger. As a cloud-native BI platform, Sigma Computing does not enforce accounting rules itself but can visualize and analyze financial data modeled under both accrual and cash accounting methods. ↗

Wip Poc SupportSupported via analytics modeling. Sigma Computing allows users to build Work-in-Progress (WIP) schedules and calculate Percentage-of-Completion (POC) metrics using its spreadsheet-style interface and formulas, provided the underlying job costs and contract data are present in the connected cloud data warehouse. ↗

Implementation TimeInitial onboarding and pilot use cases typically take 2 to 4 weeks, while full organizational deployments and legacy BI migrations generally take 6 to 8 weeks (and up to several months for complex enterprise environments). ↗

Requires ImplementerDoes not require a paid implementer or VAR; internal IT or data engineering teams can deploy and configure the system directly via native cloud warehouse connectors and admin APIs, though a network of third-party consulting partners exists for optional assisted rollout. ↗

Adoption & market position

Market PositionSigma Computing is a modern, cloud-native business intelligence and analytics platform that allows users to query live data directly inside cloud warehouses (such as Snowflake, Databricks, Google BigQuery, and Amazon Redshift) via a spreadsheet-style UI. In the construction and real estate sector, platforms like Built Technologies embed Sigma to provide reporting to contractors, lenders, and property owners. As of April 2026, Sigma reached $200 million in Annual Recurring Revenue (ARR), and in May 2026 it raised an $80 million Series E funding round at a $3.0 billion valuation, bringing total capital raised to over $600 million with strategic investors including Databricks Ventures, ServiceNow Ventures, and Workday Ventures. ↗

Customer ScaleSigma Computing serves more than 2,000 corporate customers overall and added over 1.1 million new active users in its fiscal year ending January 2026. Specific customer counts isolated strictly to U.S. trade and construction contractors are not separately broken down by the company, though contractors access the platform either directly, as guest users, or through embedded deployments in construction management platforms. ↗

MomentumSigma Computing is considered a fast-growing, modern analytics platform rather than a legacy system being replaced. It achieved over 100% year-over-year ARR growth to hit $200M in ARR by April 2026, doubled its valuation to $3B in May 2026, debuted in the 2025 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, and was named Snowflake's Business Intelligence Partner of the Year for three consecutive years. Organizations adopt Sigma to replace legacy BI dashboards and manual spreadsheet extractions with warehouse-native live analytics and AI-powered workflows. ↗