auditable-ai
(4)
Maxima
Maxima is an AI-native accounting automation platform building autonomous agents that do the month-end close instead of just coordinating it. Its 24/7 agent, Max, sits on top of a company's existing ERP - pulling data from banks, billing, payroll and warehouses - to prepare journal entries, reconciliations and variance explanations with a re-performable audit trail, so accountants log in to work that's already done and ready for review. Founded in 2024 by veterans of Rubrik, Netflix and Meta, Maxima raised $41M in Seed and Series A in November 2025 and counts Rippling, Scale AI, SpotOn and Bilt Rewards among its customers.
Guide Labs
Guide Labs is a San Francisco AI research company building interpretable foundation models - large language and diffusion models that can reliably explain how they reach an answer, trace outputs back to their training data, and be steered without retraining. Founded in 2023 by machine-learning researcher Julius Adebayo and colleagues from the academic interpretability world, the company argues that the black-box status quo is a solvable engineering problem, not an unavoidable cost of scale. Its flagship open-source release, Steerling-8B, is pitched as the first large-scale inherently interpretable language model, and its Clarity platform packages interpretability tools for teams in regulated, high-stakes fields like lending, medicine, and drug discovery.
Inventive
Inventive is a San Francisco startup building customer-facing AI that B2B SaaS companies embed inside their own products. Its first product, an embedded AI Analyst, lets a software vendor's customers use plain language to explore data, build custom reports, and act on insights. What sets Inventive apart is the layer around the agent: built-in quality and learning systems that test across accounts, catch mistakes, and propose fixes so the AI measurably improves week over week instead of degrading after a good demo. Founded in 2022 by ex-Google, Meta, and Microsoft product and platform veterans, the company launched out of stealth in June 2024 with a $6.5M seed round led by Wing VC.
Salt AI
Salt AI is a Los Angeles contextual-AI company building a visual platform that lets regulated enterprises - especially life sciences and healthcare teams - orchestrate many AI models into governed, auditable workflows that run inside their own infrastructure. Founded in 2023 by former Myspace CTO Aber Whitcomb and Jim Benedetto, Salt lets biochemists and clinicians drag, drop, and chain models like AlphaFold2 (which Salt runs 22x faster), ProteinMPNN, and Chroma without writing code, turning months of pipeline engineering into weeks while keeping every prompt, weight, and response logged for compliance.