Click any tag below to further narrow down your results
Links
When top law firms face AI hallucinations in filings, it exposes a trust gap that erases productivity gains. Korekt adds a source-backed, real-time fact-checking layer into any AI workflow—verifying citations, figures, and stats against primary sources via a browser extension and API. Its freemium SaaS model scales from individual seats to enterprise integrations.
- Sullivan & Cromwell had to apologize to a federal judge over AI-hallucinated citations in a court filing, showing manual fact-checking still erases AI's productivity gains in high-stakes fields.
- Korekt acts as an LLM-agnostic verification layer (API or browser extension) that checks citations, figures, and stats against primary sources like Westlaw or Bloomberg.
- Its business model layers a freemium "Hallucination Grader" and open-source validation library to drive adoption, then monetizes via Pro, Business, and usage-based Enterprise API tiers.
- Its main defense against in-house AI suites from Thomson Reuters and LexisNexis is staying LLM-neutral while building workflow lock-in once embedded in a lawyer's drafting process.
AI tools are turning engineers into full-stack “product engineers” who handle coding, product management, and analysis. Radicle offers a single workspace that transcribes customer calls, links specs to code, and tracks market research to remove manual handoffs and speed up the build-measure-learn loop.
- Radicle bundles call transcription, spec-to-code linking, and competitor tracking into one workspace to kill the context-switching that slows solo "product engineers" down
- Pricing is freemium: free tier caps at 3 projects/5 transcriptions monthly, Pro is $24/month for unlimited projects and automated competitor monitoring
- Growth strategy relies on a free standalone call-summarizer tool, an open-sourced task board, and an SEO-driven "Solo Founder Stack" microsite to funnel users into paid plans
- Its defensibility comes from workflow lock-in—centralizing feedback, code history, and market data makes switching costly, targeting solo builders underserved by team-focused tools