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Kindo

Kindo is the AI-native terminal for enterprise technical operations. We equip operators with intelligent agents and chat actions, powered by our proprietary DevSecOps domain-tuned LLM and compatible with 26+ third-party models, that execute runbooks, secure infrastructure, and respond to threats at GPU speed and enterprise scale.

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Founded

2022

Location

Los Angeles, CA

Employees

53

Funding

$20M+ (2024)

Kindo — The AI‑Native Terminal for Technical Operations

Kindo is an AI‑native terminal that unifies chat, agents, and workflow automation for SecOps, DevOps, and IT operations teams—built with enterprise‑grade security, auditability, and model governance. Engineers can plan, run, and prove operations in a single, secure workspace. Sources: [Kindo website](https://www.kindo.ai), [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions)

What Kindo Does

  • **AI‑native terminal and agentic automation** for operational workflows end‑to‑end
  • – Intelligent agents execute runbooks, triage alerts, and respond to incidents using a domain‑tuned LLM. Sources: [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions), [Kindo website](https://www.kindo.ai)

  • **Enterprise controls and proof**
  • – Centralized administration, audit logs, and model governance designed for regulated and security‑sensitive environments. Source: [Kindo website](https://www.kindo.ai)

  • **Security, Dev, and IT in one workspace**
  • – Built to accelerate triage, automate repetitive actions, and produce verifiable evidence. Source: [Kindo website](https://www.kindo.ai)

    Why It Matters

  • Faster incident response with guardrails and traceability
  • Reduced toil via agent‑driven runbooks and workflow libraries
  • Consolidated, auditable operations across SecOps, DevOps, and ITOps
  • Standout Capabilities

  • **Agentic automation** with a domain‑tuned LLM; recent coverage highlights an in‑house model called **Deep Hat** for security operations. Sources: [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions), [Deep Hat coverage](https://itbrief.news/story/kindo-triples-enterprise-adoption-unveils-deep-hat-ai-model)
  • **Secure workspace and governance:** enterprise controls, audit logs, and model governance for safe AI adoption. Source: [Kindo website](https://www.kindo.ai)
  • **Workflow library:** growing catalog for common operational tasks across security and ops. Source: [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions)
  • Who It’s For

  • **Security (SecOps):** teams seeking faster triage, incident response, and auditability
  • **DevOps:** teams that want agent‑driven runbooks and environment actions with guardrails
  • **IT Operations (ITOps):** teams seeking AI‑assisted ticketing, patching, and change verification
  • Sources: [Kindo website](https://www.kindo.ai), [Kindo blog](https://www.kindo.ai/blog)

    Common Use Cases

  • **SecOps:** phishing triage, SIEM alert investigation, EDR response, threat hunting, compliance evidence capture. Source: [Top SecOps use cases](https://www.kindo.ai/blog/top-5-secops-use-cases-to-get-immediate-value-in-kindo)
  • **DevOps:** runbook execution, cloud anomaly detection, change validation, rollback actions. Sources: [Kindo website](https://www.kindo.ai), [Kindo blog](https://www.kindo.ai/blog)
  • **ITOps:** ticket analysis/enrichment/routing, patch orchestration, access requests with approvals. Sources: [Kindo website](https://www.kindo.ai), [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions)
  • Integrations (Overview)

    Public materials reference broad enterprise integrations typical for security and ops:

  • **SecOps:** workflows and alert handling implying EDR/SIEM connections
  • **Cloud:** anomaly detection and operations actions implying AWS/GCP/Azure
  • **ITSM/Collaboration:** ticketing and chat patterns implying ITSM and messaging tools
  • For a precise vendor list, request the integrations sheet or a demo. Sources: [SecOps use cases](https://www.kindo.ai/blog/top-5-secops-use-cases-to-get-immediate-value-in-kindo), [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions), [Kindo website](https://www.kindo.ai)

    Security & AI Model Posture

  • **Trust and auditability:** AI‑native terminal with enterprise controls, audit logs, and governance for secure adoption at scale. Sources: [Kindo website](https://www.kindo.ai), [Company page](https://www.kindo.ai/company)
  • **Intelligent agents:** domain‑tuned LLM for end‑to‑end operational workflows; recent press highlights the in‑house **Deep Hat** model focused on security operations. Sources: [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions), [Deep Hat coverage](https://itbrief.news/story/kindo-triples-enterprise-adoption-unveils-deep-hat-ai-model)
  • Pricing and Trial

  • Pricing is not publicly listed; Kindo is enterprise‑focused and demo‑led.
  • No public free trial details found on reviewed pages.
  • Next step: request a demo.
  • Sources: [Kindo website](https://www.kindo.ai), [G2](https://www.g2.com/products/kindo/reviews), [Capterra](https://www.capterra.com/p/10013277/Kindo/)

    Company Snapshot

  • **Name:** Kindo
  • **Category:** AI‑native terminal and workflow agents for SecOps, DevOps, ITOps
  • **Tagline:** “The AI‑Native Terminal for Technical Operations”
  • **Primary users:** Security, Dev, and IT engineers
  • **HQ:** Los Angeles, US; headcount 51–200 (LinkedIn range)
  • Sources: [Kindo website](https://www.kindo.ai), [LinkedIn company page](https://www.linkedin.com/company/kindo-ai)

    Leadership & Team

  • **CEO:** Ron Williams
  • **CTO:** Bryan Vann
  • US‑based team; 50+ employees listed on LinkedIn.
  • Sources: [Company page](https://www.kindo.ai/company), [LinkedIn](https://www.linkedin.com/company/kindo-ai)

    Funding

  • Approximately **$27.6M** reported funding (Seed ~$7M + $20.6M round).
  • Sources: [Coverage](https://finance.yahoo.com/news/kindo-ai-appoints-veteran-revenue-120300472.html), [LinkedIn/company posts](https://www.linkedin.com/company/kindo-ai)

    Momentum & News

  • Reported record growth and product momentum ahead of Black Hat USA 2025. Source: [Press release](https://www.prnewswire.com/news-releases/kindoai-announces-record-growth-and-product-momentum-ahead-of-black-hat-usa-2025-302515526.html)
  • Enterprise adoption and unveiling of the **Deep Hat** AI model. Source: [Coverage](https://itbrief.news/story/kindo-triples-enterprise-adoption-unveils-deep-hat-ai-model)
  • Recent executive hire signaling go‑to‑market expansion. Source: [News](https://finance.yahoo.com/news/kindo-ai-appoints-veteran-revenue-120300472.html)
  • Company background and updates: [Company page](https://www.kindo.ai/company), [Blog](https://www.kindo.ai/blog), [Resources](https://www.kindo.ai/resources-categories/company-news)
  • Market Feedback

  • Pros:
  • – Security‑first posture with centralized control to safely adopt and manage AI across the workforce

    – Positive anecdotal utility (daily driver for some users)

    Sources: [G2](https://www.g2.com/products/kindo/reviews), [Capterra](https://www.capterra.com/p/10013277/Kindo/), [Reddit](https://www.reddit.com/r/Multiplatform_AI/comments/16pif22/kindo_elevating_ai_security_and_productivity_in/)

  • Cons:
  • – Limited public review volume and awareness noted by a user

    Source: [Reddit](https://www.reddit.com/r/Multiplatform_AI/comments/16pif22/kindo_elevating_ai_security_and_productivity_in/)

    Go‑To‑Market

  • **Enterprise‑focused, demo‑led** motion; recommended next step is to schedule a demo for capabilities, pricing, and integrations fit. Source: [Kindo website](https://www.kindo.ai)
  • SEO‑Friendly Keywords

  • AI‑native terminal, SecOps automation, DevOps runbooks, IT operations AI, agentic automation, security operations AI, incident response automation, audit logs and model governance, enterprise AI workspace, Deep Hat model
  • Quick FAQs

  • Does Kindo publish pricing?
  • – Not publicly; request a demo. Source: [Kindo website](https://www.kindo.ai)

  • Does Kindo have an in‑house model?
  • – Press coverage references an in‑house security model called “Deep Hat.” Source: [Coverage](https://itbrief.news/story/kindo-triples-enterprise-adoption-unveils-deep-hat-ai-model)

  • Is there a public integration list?
  • – Not exhaustively published; request an integrations sheet or demo. Sources: [Kindo docs](https://docs.kindo.ai/docs/frequently-asked-questions), [Kindo website](https://www.kindo.ai)

    Looking to evaluate Kindo for your environment? Start with a demo to review integrations, governance controls, and workflow coverage: [Kindo](https://www.kindo.ai).

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