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Paces

AI platform for siting, permitting, and grid due diligence on renewable energy and data center projects

Software and AI-agent platform for renewable energy and data center developers that aggregates environmental, zoning/permitting, and grid-interconnection data across millions of parcels, screens sites against developer-defined criteria, and produces (or expert-validates) due-diligence reports and permitting/interconnection application filings.

$12.9M total across two disclosed rounds — $1.9M pre-seed (2022, led by Resolute Ventures) and $11M Series A (announced July 2024, led by Navitas Capital, with Suffolk Technologies, MCJ Collective, Resolute Ventures, Soma Capital, and Y Combinator participating). A separate Crunchbase-derived tracker (startupintros.com) reports $15.9M across three rounds; the discrepancy was not reconciled on a primary source. raisedGrowth Stage
Founded 2022 · No total customer count publicly disclosed. Named references/testimonials: Chaberton Energy (Albert Yeh, Senior Manager of Commercial Operations), Demeter Land Development (cited CEO Scott Aaronson), and Radiant Power. Employee count reported as ~50 (Y Combinator company page) to 72 (Tracxn, as of May 2026) — sources not reconciled.
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WHY IT EXISTS

Why This Tool Exists

The Problem

Renewable energy and data-center developers manually research zoning, environmental constraints, and grid interconnection capacity site-by-site — a process that can take months per site. The company states 70-90% of power projects that developers pursue never reach Notice to Proceed, often because fatal siting or grid-capacity flaws surface too late.

The Solution

Paces ingests proprietary and public environmental, permitting/zoning, and grid-interconnection datasets across a claimed 155+ million parcels, lets developers filter and rank sites against their own criteria, and layers AI-driven automation with human-expert review to produce modular due-diligence reports (as fast as 5 days) and prepare permitting/interconnection applications. A "Managed" (Development-as-a-Service) tier extends this to a full origination-through-interconnection workflow run by Paces staff.

USAGE

How You Use It

Delivery Method
SaaS (Web Application)Managed Services (Development-as-a-Service)
Integrations
Not publicly specified — no named third-party software integrations confirmed; customers can upload their own datasets for project-specific context
Disciplines
Civil Engineering
Workflows
Data & Automation
Project Phases
Pre-Design, Site Selection, Feasibility Analysis, Permitting
Project Types
Infrastructure, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project/technology criteria (e.g., solar, wind, storage, EV charging, data center), Target geography or market
Optional:Custom client datasets or existing project pipeline data, Specific parcel addresses for due-diligence requests
Formats:Web-form/text input, GIS/parcel data, Custom dataset upload (file formats not publicly specified)
Output
What you get
Format:Web-based dashboard (parcel search, risk heatmaps, pipeline tracker) plus exportable modular due-diligence reports and application filings
Fields:Ranked/filtered parcel and site lists, Environmental, permitting, and grid-constraint overlays ("heatmaps"), Grid withdrawal/interconnection capacity and power-flow study results, Modular diligence reports (environmental, permitting, grid), Landowner contact information, Permitting and interconnection application drafts
Algorithm
How it works
Model:Proprietary data-aggregation and AI-agent system (specific model architecture/vendor not publicly disclosed); marketed as an "AI Agent" that orchestrates research and screening workflows
Accuracy:Not publicly specified — no independently audited accuracy metrics published. Vendor markets "50% reduction" in development costs and "50% acceleration" in timelines, and a customer testimonial cites closing roughly 1 in 3 qualified opportunities versus 1 in 10 previously; these are vendor-reported/self-selected claims, not independently verified.
Privacy
How your data is protected
Retention:Per the privacy policy, personal data is retained "only for as long as is necessary" for the stated purposes; no fixed retention period is disclosed. Usage data is described as "generally retained for a shorter period," except when used to strengthen security or improve the service.
Training:The privacy policy states that customer-uploaded datasets are not accessed, used, or shared with third parties or other customers "except with the explicit permission of the customer." It does not explicitly state whether customer data is used to train Paces' own AI/analysis models.
Compliance:GDPR provisions addressed for EU/EEA residents in the privacy policy, CalOPPA (California Online Privacy Protection Act) referenced, No SOC 2, ISO 27001, or other third-party security certification publicly disclosed
API
Integration
Endpoint:Contact vendor for API access — no public API documentation found
Method:Not publicly documented
USE CASES

Use Cases

  • ·Screening millions of parcels to identify viable sites for solar, wind, battery storage, EV charging, and data-center projects
  • ·Quantifying grid interconnection capacity and power-flow constraints before committing to a site
  • ·Accelerating environmental and permitting due diligence via modular, expert-validated reports delivered in days rather than months
  • ·Preparing and tracking permitting and grid-interconnection applications
  • ·Outsourcing the origination-through-interconnection development workflow as a "Development-as-a-Service" managed offering
PRICING

Pricing

Free
No public free tier — a demo/consultation is required to access the platform
Pro
Not publicly specified — no self-serve pricing tiers are published; pricing appears to be quote-based per project or portfolio
Enterprise
Custom pricing via sales contact; Managed (Development-as-a-Service) and professional-services (permitting/interconnection application support) packages are priced separately from the core software
Sources & Research NotesResearch date: 2026-07-17
Data Sources (14)
Fields Checked (15)
problem, solution, deliveryMethod, disciplines, projectPhases, yearFounded, founders, fundingTotal (round amounts and lead investors), algorithm-approach, output-fields, useCases, privacy-retention, privacy-training, privacy-location, customerBase (named testimonials)
Not Found (9)
integrations with named third-party AEC/energy software, API documentation, SOC 2/ISO certification, exact self-serve pricing figures, exact employee count (sources range 50-72), independently audited accuracy metrics, exact total customer/project count, exact input/output file formats, hosting provider/region
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
ALTERNATIVES

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