AiDASH website screenshot

AiDASH

AiDASH is an AI-first vertical SaaS company that uses satellite imagery and machine learning to run operations, maintenance, and climate-resilience programs for industries with geographically distributed assets — primarily electric and gas utilities, water companies, and landowners. Founded in 2019 by Abhishek Vinod Singh, Rahul Saxena, and Nitin Das and headquartered in San Jose, California with offices in the Washington D.C. metro area and Bengaluru, the company fuses high-resolution multispectral and SAR imagery from commercial satellite constellations with proprietary AI models. Its product line spans the Intelligent Vegetation Management System (IVMS), the Climate Risk Intelligence System (CRIS), the Asset Inspection and Monitoring System (AIMS), Wildfire Mitigation Planning Services (WMPS) and the IRIS wildfire planning platform, and a Biodiversity Net Gain management system (BNGAI). AiDASH markets REST APIs and industry-standard connectors for integrating its intelligence into existing utility systems, but publishes no public developer portal, API reference, or machine-readable contract — the API surface is customer-gated behind commercial engagement. In June 2026 Schneider Electric agreed to acquire approximately 90% of AiDASH at an implied enterprise value of USD 350 million, pending regulatory close.

AiDASH is listed with 1 API on the APIs.io network. Tagged areas include Company, Satellite, Artificial Intelligence, Geospatial, and Utilities.

AiDASH’s developer surface includes signup flow, support, engineering blog, product news, YouTube channel, and 26 more developer resources.

24.7/100 emerging ▬ flat Agent 0/100 human only Front door AI 2/6 trace Heartbeat 67/100 slowing saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →
1 API
CompanySatelliteArtificial IntelligenceGeospatialUtilitiesEnergyVegetation ManagementWildfireClimate RiskAsset ManagementRemote SensingVertical SaaS

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0
Regulatory Posture applies to this provider. Its tags matched the Energy & Utilities regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
  • Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
  • Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
13 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →
Ask about:
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or email info@apis.io
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/aidash/apis.yml: open an issue on github.com/api-evangelist/aidash to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Space and Satellite (operators, earth observation, ground segment) standard 26.8 (thin) - -

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

AiDASH Status API

The only public, unauthenticated, machine-readable API surface AiDASH exposes. It is the standard Atlassian Statuspage Status API v2 served from the AiDASH status page, returnin...

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

AiDASH

9 quoted statements, read from AiDASH's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

AiDASH

19 quoted statements, read from AiDASH's own page on 2026-11-09.

PRIVACY

Compliance 1

Attestations the provider states (SOC 2, ISO 27001 and others), quoted from its own trust page. APIs.io verifies none of them.

AiDASH

3 quoted statements, read from AiDASH's own page on 2026-11-09.

COMPLIANCE

Data License 1

How its data and outputs may be reused, quoted from its own terms.

AiDASH

1 quoted statement, read from AiDASH's own page on 2026-11-09.

LICENSE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

AiDASH Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

AiDASH Trust Center

SOC 2, SOC 3, CSA STAR Level 1

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 2

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 9

The organization behind the API

Scroll for all 9

Other 6

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: aidash
name: AiDASH
description: AiDASH is an AI-first vertical SaaS company that uses satellite imagery and machine learning to run operations,
  maintenance, and climate-resilience programs for industries with geographically distributed assets — primarily electric
  and gas utilities, water companies, and landowners. Founded in 2019 by Abhishek Vinod Singh, Rahul Saxena, and Nitin Das
  and headquartered in San Jose, California with offices in the Washington D.C. metro area and Bengaluru, the company fuses
  high-resolution multispectral and SAR imagery from commercial satellite constellations with proprietary AI models. Its product
  line spans the Intelligent Vegetation Management System (IVMS), the Climate Risk Intelligence System (CRIS), the Asset Inspection
  and Monitoring System (AIMS), Wildfire Mitigation Planning Services (WMPS) and the IRIS wildfire planning platform, and
  a Biodiversity Net Gain management system (BNGAI). AiDASH markets REST APIs and industry-standard connectors for integrating
  its intelligence into existing utility systems, but publishes no public developer portal, API reference, or machine-readable
  contract — the API surface is customer-gated behind commercial engagement. In June 2026 Schneider Electric agreed to acquire
  approximately 90% of AiDASH at an implied enterprise value of USD 350 million, pending regulatory close.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://www.aidash.com/wp-content/uploads/2024/10/AiDash_Logo-orange.png
url: https://raw.githubusercontent.com/api-evangelist/aidash/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment-pass
specificationVersion: '0.23'
created: '2026-08-02'
modified: '2026-08-02'
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 6
  pass: local-v1
tags:
- Company
- Satellite
- Artificial Intelligence
- Geospatial
- Utilities
- Energy
- Vegetation Management
- Wildfire
- Climate Risk
- Asset Management
- Remote Sensing
- Vertical SaaS
apis:
- aid: aidash:status
  name: AiDASH Status API
  description: The only public, unauthenticated, machine-readable API surface AiDASH exposes. It is the standard Atlassian
    Statuspage Status API v2 served from the AiDASH status page, returning JSON for overall status, the four platform components
    (IVMS, RIMS, ISMS, CRIS), incidents, and scheduled maintenances. AiDASH markets full REST APIs for its intelligence platform,
    but those are customer-gated and no contract, reference, or portal is published.
  humanURL: https://aidash.statuspage.io/
  baseURL: https://aidash.statuspage.io/api/v2
  tags:
  - Status
  - Monitoring
  tags_raw:
  - Status
  - Monitoring
  - Operations
  properties:
  - type: StatusPage
    url: https://aidash.statuspage.io/
  - type: Lifecycle
    url: lifecycle/aidash-lifecycle.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TrustCenter
  url: security/aidash-trust-center.yml
- type: DomainSecurity
  url: security/aidash-domain-security.yml
- type: Conformance
  url: conformance/aidash-conformance.yml
- type: Lifecycle
  url: lifecycle/aidash-lifecycle.yml
- type: StatusPage
  name: AiDASH Status
  url: https://aidash.statuspage.io/
- type: LLMsTxt
  url: llms/aidash-llms.txt
- type: WellKnownProbe
  name: /.well-known/ probe results (no documents published)
  url: well-known/aidash-well-known.yml
- type: Website
  url: https://www.aidash.com/
- type: About
  url: https://www.aidash.com/about/
- type: Platform
  name: AiDASH Platform
  url: https://www.aidash.com/platform/
- type: SignUp
  name: Get a Demo
  url: https://www.aidash.com/get-a-demo-all/
- type: Support
  name: Contact Us
  url: https://www.aidash.com/contact-us/
- type: Blog
  url: https://www.aidash.com/blog/
- type: BlogRSS
  url: https://www.aidash.com/feed/
- type: News
  url: https://www.aidash.com/news/
- type: Resources
  name: Learning Center
  url: https://www.aidash.com/resources/
- type: Customers
  url: https://www.aidash.com/customers/
- type: Careers
  url: https://www.aidash.com/careers/
- type: GitHubOrganization
  url: https://github.com/aidash
- type: TermsOfService
  url: https://www.aidash.com/policy/terms-and-conditions/
- type: PrivacyPolicy
  url: https://www.aidash.com/policy/privacy-policy/
- type: Compliance
  name: Security, Compliance and Responsible AI
  url: https://www.aidash.com/security-compliance-and-responsible-ai/
- type: LinkedIn
  url: https://www.linkedin.com/company/aidash
- type: Twitter
  url: https://twitter.com/aidashinc
- type: YouTube
  url: https://www.youtube.com/channel/UCdU1Xuncxsn0YXY-YigOoJg
- type: Crunchbase
  url: https://www.crunchbase.com/organization/aidash
- type: StockMarket
  name: Forge Global secondary listing
  url: https://forgeglobal.com/aidash_stock/
- type: UsageTerms
  url: terms/aidash-terms-of-service.yml
- type: DataProcessing
  url: privacy/aidash-privacy-policy.yml
- type: Attestations
  url: compliance/aidash-compliance.yml
- type: DataLicense
  url: data-license/aidash-data-license.yml

AiDASH API — frequently asked questions

Does AiDASH have an API?

Yes. APIs.io lists 1 API from AiDASH, including AiDASH Status API.

Is the AiDASH API ready for AI agents?

AiDASH has a Kin Score of 24.7 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

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