Inkeep Company Profile

The only Agent Platform where engineering and business teams can ship Agents together. Build with a No-Code Visual Builder or Developer Agents SDK with full 2-way sync.

Industry: DataAI

Segment: AI/ML Platform

Team size: 11-50

Funding: Seed

Competitors: Glean, OpenAI AgentKit

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

Inkeep

The only Agent Platform where engineering and business teams can ship Agents together. Build with a No-Code Visual Builder or Developer Agents SDK with full 2-way sync.
Inkeep logo

AI-verified profile

The only Agent Platform where engineering and business teams can ship Agents together. Build with a No-Code Visual Builder or Developer Agents SDK with full 2-way sync.

Employees

11-50

Funding

Seed ($13M)

Pricing

Public pricing page

AI Classification

DataAIAI/ML Platform

Inkeep is an AI agent platform founded in 2023 that enables engineering and business teams to build, deploy, and manage conversational and workflow agents via a TypeScript SDK and no-code visual builder. Backed by Y Combinator with $13M in seed funding, they serve enterprise CX and ops teams primarily at technology companies.

No deep intelligence yet

Run a full profile to see buying signals, account scoring, pain signals, and recommended contacts for Inkeep.

Run Full Profile

Competitors

GleanOpenAI AgentKit

Inkeep is profiled by Kustiq, an AI company intelligence platform for B2B teams. Inkeep is one of 107 ai / ml platform companies in our Data & AI directory. Similar profiles include Earthly, Featureform, Cal, and No-code open source database & application builder.

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

Part of 3,020 AI-profiled B2B companies. Browse the full directory