Gryps

Managed AI platform that unifies capital project and facility data

AI-powered data platform for capital project owners and facility teams that connects 30+ enterprise systems and extracts data from 40+ file formats -- including scanned and handwritten documents -- into a searchable knowledge graph with a natural-language AI Assistant and pre-built dashboards.

$7.7M total (seed ~$1.5-1.8M, March 2021 + $6.2M Series A, July 2023 -- sources vary slightly on seed amount) raisedGrowth Stage

Founded 2020 · Named customers include Mount Sinai Health System, Northeastern University, Javits Center, Related Companies, Clean Path New York, Community Health Systems, and Zubatkin Owner Representation; total customer count not publicly disclosed

Website →← All Tools

WHY IT EXISTS

Why This Tool Exists

The Problem

Capital program owners running construction across universities, hospitals, and infrastructure programs keep project and facility data scattered across 30+ disconnected systems (e-Builder, Procore, SharePoint, financial platforms) plus tens of thousands of scanned paper documents and RFIs, so answering a basic question -- like current change-order exposure or a piece of equipment's warranty status -- requires manually digging through multiple systems for days.

The Solution

Gryps deploys RPA bots and AI connectors to pull data from 30+ enterprise systems, including ones without APIs, and uses AI to extract structured information from 40+ file formats -- including scanned and handwritten documents -- into a proprietary construction knowledge graph. A natural-language AI Assistant, semantic search, and 1,000+ pre-built dashboard templates then let owner, CM, and facility teams query cost, schedule, permitting, and asset data from one place instead of chasing it across systems.

USAGE

How You Use It

Delivery Method

SaaSWeb AppManaged Service

Integrations

Autodesk Construction Cloud (Build/Docs)Procoree-BuilderSharePointPower BITableauExcel

Disciplines

Construction, Facility Management

Workflows

Data & Automation, Operations & Facility Management

Project Phases

Construction Administration, Operations/FM

Project Types

Healthcare, Education, Infrastructure, Institutional, Commercial

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required:Project/facility documents (contracts, RFIs, submittals, change orders, O&M manuals), Access credentials to connected systems (Procore, e-Builder, Autodesk Construction Cloud, SharePoint, financial systems)

Optional:Historical scanned/handwritten paper records, Facility asset and warranty documentation

Formats:PDF, Scanned/handwritten documents, Excel, CSV, 40+ file formats via AI extraction

Output

What you get

Format:Searchable knowledge graph with natural-language query interface and dashboards

Fields:Cost and budget data, Schedule and milestone status, RFIs and submittals, Change orders and invoices, Permitting and compliance status, Facility asset records and warranties

Algorithm

How it works

Model:Proprietary knowledge graph combined with generative AI document extraction and RPA (exact model architecture/LLM vendor not publicly disclosed)

Accuracy:Not publicly specified (vendor states its platform had processed 230M+ data points as of 2023; no independently audited extraction-accuracy benchmark published)

Privacy

How your data is protected

Retention:Not publicly specified; Website Terms of Use state Gryps "is not obligated to backup any User Content" and that content "may be deleted at any time without prior notice"

Training:Not publicly specified

Compliance:SOC 2 Type II certified (per vendor product page and website footer badge; audit report not publicly available), Data encrypted at rest and in transit, per vendor, SSO and two-factor authentication supported, Dedicated Trust Center published at trust.gryps.io (detailed content requires account access, not publicly viewable)

API

Integration

Endpoint:Contact vendor for API access

Method:Not publicly documented

USE CASES

Use Cases

·Enterprise search across fragmented project systems for cost codes, specifications, and contract terms
·Automated ingestion and classification of scanned RFIs, submittals, and change orders
·Change order and invoice review for cost-compliance checking
·Facility O&M manual and warranty document organization for asset management
·Real-time capital program dashboards for cost, schedule, and risk tracking across a portfolio

PRICING

Pricing

Free

Not publicly specified; no free tier advertised

Pro

Not publicly specified; contact vendor

Enterprise

Custom pricing for capital program owners and facility teams; contact vendor

Website →

Research Sources & Data QualityLast verified: 2026-07-17

Data Sources (10)

Verified Data (14)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded (2020 per company site/Crunchbase/Preqin; Tracxn lists 2019), founders (Dareen Salama, Amir Tasbihi), fundingTotal ($7.7M: seed 2021 + $6.2M Series A July 2023), investors (Primary Venture Partners, LDV Capital, Pear VC), customerBase (named customers), SOC 2 Type II badge claim, useCases

Not Found (7)

api-documentation, published pricing, exact data retention period, AI training-data practices, data residency region, independently audited accuracy benchmarks, total customer count

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

ALTERNATIVES

Similar Tools

🌱

2050 Materials

Data & Automation

Digital information and research platform for the AEC industry to explore, compare and source sustainable building materials with comprehensive sustainability data.

Integrate real-time data on building material climate impacts with API-first solution. Access the industry's largest, highest-quality sustainability database for immediate embodied carbon calculations.

AI platform that transforms natural language questions into interactive maps, charts, and spatial analysis for urban planning and site selection without requiring GIS or coding skills.

View Details →