Datagrid AI
Datagrid AI provides an agentic AI platform with 100+ enterprise integrations that autonomously executes document-intensive workflows for construction, insurance, and manufacturing teams. Acquired by Procore in January 2026 for $168 million, it now operates as Datagrid, a Procore Company.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Datagrid AI does
Datagrid AI is an agentic AI platform purpose-built for the built world, with primary focus on the construction industry and secondary application in insurance and manufacturing. Founded in 2019 and headquartered in San Francisco, the company developed a portfolio of specialized AI agents including Deep Search Agent, Summary Spec Submittal Agent, RFI Checker and Validator Agents, Scheduling Agent, Quality Control Agent, and Risk Detection Agent, among others. These agents execute multi-step workflows autonomously across 100+ enterprise systems including Procore, Autodesk Construction Cloud, Oracle Aconex, Primavera P6, SAP S/4HANA, Salesforce, and Microsoft 365, processing multimodal inputs (text, structured data, images, CAD files) to compress document-intensive cycles such as submittal reviews and RFIs from days to minutes.
The platform combines a vertical AI agent framework with a deep integration layer, SOC 2 Type II security, and an explicit data privacy commitment that customer data is never used for model training. Documented customer outcomes include 87.5% time reduction on submittal reviews, 90% accuracy improvement on spec reviews, bid execution compressed from weeks to 20 minutes, and 3-10x productivity gains across teams at named customers such as Level 10 Construction, Mortenson, Buro Happold, and Victaulic.
Datagrid operates a hybrid go-to-market combining enterprise field sales with product-led self-serve account creation and a credit consumption pricing model (subscription plus usage-based). The company was acquired by Procore Technologies in January 2026 for approximately $168 million, with founder and CEO Thiago da Costa joining Procore to lead AI and data strategy. Following the acquisition, Datagrid operates as a wholly-owned subsidiary of Procore with products available to both Procore and non-Procore customers and AI capabilities progressively embedded into Procore's platform serving nearly 3 million users across 150+ countries.
Datagrid AI firmographics
Firmographics- Name
- Datagrid AI
- Legal name
- Datagrid
- Website
- https://datagrid.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Datagrid AI provides an agentic AI platform with 100+ enterprise integrations that autonomously executes document-intensive workflows for construction, insurance, and manufacturing teams. Acquired by Procore in January 2026 for $168 million, it now operates as Datagrid, a Procore Company.
- Ownership category
- akta.pro rank
Datagrid AI industry classification
Industry- Product category
- Vertical AI Software for Construction
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where Datagrid AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Datagrid AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription - Credit Consumption Model: Datagrid is priced on a credit consumption model where users purchase credits to use AI agent capabilities. Currently in private beta with broader availability expected. Annual subscription plans available with credit bundles.
- Usage-based Consumption: Credit consumption model where costs scale with usage intensity. Agents perform tasks and consume credits based on complexity and volume of work executed.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Credit-based consumption pricing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Datagrid AI product offering
Product offeringCore offering
Datagrid AI provides an agentic AI platform that deploys specialized AI agents to autonomously execute construction, insurance, and manufacturing workflows such as submittal review, RFI checking, specification compliance, daily log drafting, and document extraction. The platform connects to 100+ enterprise systems (Procore, Autodesk, SAP, Salesforce, Microsoft, Primavera, etc.) via pre-built Data Connectors, and delivers grounded verifiable answers, real-time sync, and enterprise governance features including SOC 2 Type II security and agent templates.
Product overview
Datagrid AI is an agentic AI platform designed for the built world, operating as a subsidiary of Procore Technologies following acquisition in January 2026. The platform provides a portfolio of specialized AI agents including Deep Search Agent, Summary Spec Submittal Agent, RFI Checker Agent, RFI Validator Agent, Scheduling Agent, Communication Agent, Data Organization Agent, Data Extraction Agent, Automation Agent, Quality Control Agent, Risk Detection Agent, and Task Manager Agent. These agents work together as a unified platform to connect systems, interpret project files, and execute real construction workflows autonomously. The platform also includes Data Connectors for 100+ platform integrations, plus enterprise features like Agent Templates, Usage Reports, and Real-Time Sync. Datagrid enables teams to reduce repetitive document work by up to 30%, compress review cycles from days to minutes, and shift from chasing information to moving work forward.
Differentiator
Problem solved
Functional benefit
Products and services
- Deep Search Agent AI agent that queries multiple platforms simultaneously to retrieve and synthesize information from construction documentation, returning consolidated answers with supporting citations rather than document lists.
- Summary Spec Submittal Agent AI agent that compares submittals against specifications to identify compliance gaps automatically, reducing submittal review time from 32+ hours to under 1 hour with 90% greater accuracy.
- RFI Checker Agent AI agent that checks RFIs against project documents to validate compliance and identify discrepancies before submission to prevent downstream issues.
- RFI Validator Agent AI agent that validates RFI necessity and cross-references against project specifications and prior responses to ensure completeness before submission.
- Scheduling Agent AI agent that monitors project milestones in scheduling platforms like Primavera P6 and automatically routes submittals and RFIs for quality control workflows.
- Communication Agent AI agent that handles routine tenant request routing, status notifications, and standard responses while preserving human judgment for complex communications.
- Data Organization Agent AI agent that ingests, structures, and analyzes documentation from disparate sources to create centralized knowledge bases and maintain data synchronization across systems.
- Data Extraction Agent AI agent that processes structured and unstructured data from PDFs, CAD files, specifications, and technical drawings, enabling systematic identification of content impacted by engineering changes.
- Automation Agent AI agent that automates multi-step workflows including BOM synchronization with work instructions, resource allocation tracking, and cross-system document processing.
- Quality Control Agent (Manufacturing) AI agent that identifies defect patterns across production data and helps prioritize which error-proofing mechanisms will deliver the highest impact in manufacturing quality control.
- Risk Detection Agent AI agent that synthesizes complaint patterns, environmental readings, and communication logs to flag at-risk situations before they escalate to critical issues.
- Proactive Reporting Agent AI agent that sends real-time notifications when metrics fall below thresholds or patterns emerge, enabling proactive intervention before issues escalate.
- Task Manager Agent AI agent that prioritizes tasks based on deadlines, resource availability, and dependencies while continuously adjusting assignments as project conditions change.
- Data Connectors Pre-built integration layer connecting to 100+ data platforms including CRM systems, project management tools, construction software, ERP systems, and cloud storage for unified data access.
- AI-Powered Cost Analysis Platform AI-powered platform for construction cost analysis and budget automation, using machine learning and natural language processing to automate construction cost estimation and budgeting with improved accuracy and reduced budget overruns.
- Construction Risk Management AI AI agent platform for identifying and managing construction deal risks, offering pattern analysis across projects, real-time data processing, and anomaly detection to flag potential issues before escalation.
Quantifiable outcome
- 50% reduction in construction administration work related to RFI creation, response, and submittal review
- +5 more outcomes
Companies that use Datagrid AI
Customer profileNamed customers9 records
Segments3 records
Ideal customer profiles4 records
Datagrid AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration46 records
AI capability10 records
Feature7 records
Datagrid AI partnerships and signals
Strategic signalPartnerships
18 partnerships are on record, tiered core and minor.
- Procore TechnologiescoreProcore acquired Datagrid in January 2026 for $168 million to accelerate its AI strategy and enhance data connectivity for construction customers. Datagrid's CEO Thiago da Costa joined Procore to lead AI and data strategy. Products remain available to both Procore and non-Procore customers while core AI capabilities become embedded in the Procore platform.
- TrimbleminorDatagrid was selected as winner of Trimble's 2025 0-60 Challenge startup competition at the Dimensions User Conference in Las Vegas. The competition identified innovative startups leveraging AI and integrations with Trimble's collaboration platform to improve workflows in architecture, engineering and construction.
- Associated Builders and Contractors (ABC)coreDatagrid named to ABC's Tech Alliance, a cohort of 15 technology companies providing construction technology solutions for ABC's commercial and industrial contractor members. Tech Alliance companies collaborate to provide ABC members with resources including beta testing, free technology programs, educational webinars and access to technology products through ABC's 67 chapters.
- AutodeskcoreIntegration partnership with Autodesk products including BIM 360, AutoCAD, Navisworks, and Revit. Datagrid connects to Autodesk Construction Cloud platforms enabling cross-system workflow automation for construction documentation.
- Oracle AconexcoreIntegration with Oracle Aconex for document management and workflow automation in construction projects.
- SagecoreIntegration with Sage financial management software enabling financial document processing and workflow automation.
- Microsoft (Outlook, Teams, Excel, SharePoint, OneDrive)coreDeep integration with Microsoft ecosystem including Outlook, Teams, Excel, SharePoint, and OneDrive for document processing, communication automation, and project collaboration.
- SalesforcecoreIntegration with Salesforce CRM for customer data management and workflow automation across sales and project tracking.
- SAP S/4HANAcoreIntegration with SAP S/4HANA for manufacturing resource planning and production data synchronization.
- Primavera P6coreIntegration with Oracle Primavera P6 for project scheduling and resource allocation automation in construction and manufacturing.
- SnowflakecoreIntegration with Snowflake data warehouse enabling advanced analytics and data processing for enterprise customers.
- BoxcoreIntegration with Box cloud content management for document storage and workflow automation.
- DropboxcoreIntegration with Dropbox for document storage and workflow automation.
- DocuSigncoreIntegration with DocuSign for electronic signature and contract workflow automation.
- SlackcoreIntegration with Slack for team communication and workflow notifications.
- QuickBookscoreIntegration with QuickBooks for financial document processing and accounting workflow automation.
- AcumaticacoreIntegration with Acumatica cloud ERP for manufacturing and construction financial management.
- BluebeamcoreIntegration with Bluebeam for construction document markup and collaboration workflows.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Datagrid AI competitors and assessment
Company assessmentBroad incumbents
- Procore Technologies: Procore is the parent company of Datagrid following the January 2026 acquisition, but is also a direct comparable as the leading construction management platform serving the same general contractors, specialty contractors, and owners. Procore's ~3M-user platform overlaps directly with Datagrid's primary customer base and is the channel through which Datagrid's agents are now distributed.
- Autodesk Construction Cloud: Autodesk Construction Cloud (BIM 360, ACC, PlanGrid) is one of Datagrid's deepest integration partners and a direct competitor in the construction document workflow space. Autodesk is investing heavily in its own AI features for design and construction, making it both a partner and the most direct incumbent threat to Datagrid's agentic automation layer.
Emerging players
- nPlan: nPlan applies AI to construction project scheduling and risk forecasting, analyzing past project data to predict delays. It competes for the scheduling/forecasting portion of the construction AI stack where Datagrid's Scheduling and Risk Detection agents also operate.
- Alice Technologies: Alice Technologies offers AI-driven construction scheduling and optioneering, generating optimized project plans. Like Datagrid, it targets general contractors and engineering firms seeking to compress planning cycles, and is a comparable vertical AI startup in the construction domain.
- Briq: Briq provides AI-driven financial forecasting and analytics for construction, automating cost and cash-flow projections. It overlaps with Datagrid's recently launched cost-analysis AI platform and serves the same general contractor financial planning function.
Direct peers
- Glean: Glean is an enterprise AI search and agent platform that connects to hundreds of business applications, mirroring Datagrid's deep cross-system search and grounding approach. Both products emphasize grounded, citation-backed answers over document lists, and target enterprise buyers seeking to unify knowledge across fragmented SaaS stacks.
- Buildots: Buildots applies AI to construction progress monitoring and quality control, comparing as-built reality to BIM models. Like Datagrid, it is a vertical AI startup targeting enterprise general contractors with measurable productivity and accuracy outcomes.
- Moveworks: Moveworks is an enterprise AI agent platform that autonomously executes workflows across IT, HR, and business systems. It shares Datagrid's core thesis of agentic automation grounded in deep enterprise integrations, though Moveworks focuses on employee-facing workflows while Datagrid focuses on industry-specific document workflows.
- OpenSpace: OpenSpace provides AI-powered construction progress tracking via 360° photo capture and computer vision. It targets the same general contractors and project teams as Datagrid and competes for the same AI-in-construction budget, though its focus is on visual field data rather than document/submittal automation.
- Document Crunch: Document Crunch uses AI to review and analyze construction contract documents, identifying risky clauses and compliance issues. It overlaps directly with Datagrid's contract review and document automation agents and serves the same construction legal/project-management buyer.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Datagrid AI social profiles
Digital presenceDatagrid AI compliance and trust
Trust signalCompliance1 record
Datagrid AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datagrid AI leadership team
Management profileNumber of profiles
Profiles1 record
Datagrid AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datagrid AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Datagrid AI
What does Datagrid AI do?
Datagrid AI provides an agentic AI platform that deploys specialized AI agents to autonomously execute construction, insurance, and manufacturing workflows such as submittal review, RFI checking, specification compliance, daily log drafting, and document extraction. The platform connects to 100+ enterprise systems (Procore, Autodesk, SAP, Salesforce, Microsoft, Primavera, etc.) via pre-built Data Connectors, and delivers grounded verifiable answers, real-time sync, and enterprise governance features including SOC 2 Type II security and agent templates.
Is Datagrid AI a public or private company?
Datagrid AI is a private company. It is classified as corporate owned and is currently acquired.
When was Datagrid AI founded?
Datagrid AI was founded in 2019. It employs 11 to 50 people.
Where is Datagrid AI based?
Datagrid AI is headquartered in San Francisco, United States, in the North America region.
How does Datagrid AI make money?
Two revenue lines are on record. Subscription - Credit Consumption Model is the primary driver. The others are usage-based Consumption.
Who are Datagrid AI's main competitors?
Broad incumbents on record are Procore Technologies and Autodesk Construction Cloud. Emerging players are nPlan, Alice Technologies and Briq. Direct peers are Glean, Buildots, Moveworks, OpenSpace and Document Crunch.
Does Datagrid AI have an API?
Yes. Datagrid AI exposes a public API. Developer documentation is at developers.datagrid.com/introduction/quickstart.
What industry is Datagrid AI in?
Datagrid AI's product category is Vertical AI Software for Construction. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEABAD, Data Platform (Unified Data & Analytics) Suites. Its NAICS code is 5132 and its SIC code is 7372.