Domino Data Lab

Type: company (enterprise AI / MLOps platform vendor, privately held) Sector: Enterprise AI platform — model development, deployment, monitoring, FinOps and AI governance / model risk management; positioning since Aug 2026 as an “enterprise AI solutions platform provider” for regulated industries First seen: 2026-07-28 Last updated: 2026-09-08

Created 2026-09-08 from S-2026-08-27-domino-robinson-ceo (catch-up AI-governance vendor-intelligence scan for the 29 Aug–7 Sep 2026 outage; the release itself is dated 27 Aug 2026 — two days before the window, missed by the 28 Aug run). Second source after S-2026-07-22-domino-enterprise-ai-report (ingested 28 Jul 2026 into AI Governance Maturity Gap), meeting the schema’s 2+-source trigger. All capability, “trust and safety” and regulated-industry claims below are Domino’s own and unverified; regulatory read-across is marked [inference].

Snapshot

Domino Data Lab (San Francisco, founded 2013) sells a unified platform for building, scaling, governing and integrating AI systems — statistical models through generative AI — with an explicit AI-governance / model-risk-management module and industry solutions for finance, life sciences and the public sector [S-2026-08-27-domino-robinson-ceo]. It is backed by Sequoia Capital, Coatue Management, NVIDIA, NetApp, Snowflake and UBS [S-2026-08-27-domino-robinson-ceo]. It matters to this wiki as (a) a survey publisher whose 2026 Enterprise AI Report supplies the “41% scaling agentic AI without governance” and “FS leads on governance maturity” figures used on AI Governance Maturity Gap [S-2026-07-22-domino-enterprise-ai-report], and (b) a model-lifecycle vendor whose leadership and strategy changes are supplier-continuity events for FS model-governance estates [inference].

Positions / Claims they advance

• Governance maturity is the dividing line for agentic AI: organisations whose governance fully keeps pace are 3.9x as likely to reach governed agentic production; 41% are piloting or scaling agentic AI without governance; FS, banking and insurance lead every vertical on governance maturity and production velocity (self-reported survey, BARC fieldwork) [S-2026-07-22-domino-enterprise-ai-report].
• “Last-mile” framing: models reach production but business users cannot act on outputs — 40% still deliver AI output via scheduled reports or data-scientist requests [S-2026-07-22-domino-enterprise-ai-report][S-2026-08-27-domino-robinson-ceo].
• Solutions-plus-platform strategy (Aug 2026): forward-deployed engineers inside customer environments plus a platform that “underpins the building, scaling, governance, and integration of AI systems”, claimed to provide “the trust and safety required for high-consequence AI impact in regulated industries” — vendor-asserted [S-2026-08-27-domino-robinson-ceo].
• Regulated-industry references, unnamed: a quant-research agent “co-built with a global investment firm”, pharmaceutical R&D deployments, defence target-recognition models; no customer named and no regulatory standard mapped [S-2026-08-27-domino-robinson-ceo].

Relationships

• relates-to → AI Governance Platforms — tracked as a model-lifecycle / MRM-adjacent vendor on the platform landscape; the Aug 2026 CEO change is logged there as a vendor-lifecycle signal [S-2026-08-27-domino-robinson-ceo].
• relates-to → AI Governance Maturity Gap — its 2026 Enterprise AI Report is a primary data source for that page [S-2026-07-22-domino-enterprise-ai-report].
• relates-to → Model Risk Management and Agentic AI — the governed-vs-ungoverned agentic production split is context for agentic MRM [S-2026-07-22-domino-enterprise-ai-report].
• relates-to → Vendor Lifecycle Events as Evidence-Continuity Risk — a founder-to-operator CEO succession plus a strategy pivot at an MRM-platform vendor is the kind of supplier event that concept tracks [inference].
• partners-with → Snowflake — Snowflake is named as an investor and partner relationship built by Robinson [S-2026-08-27-domino-robinson-ceo].
• relevant-to → Service Line — Programme Governance Specialist — supplier-strategy change to log in programme risk registers for model-platform migrations [inference].
• relevant-to → Service Line — Independent Governance Assurance — roadmap-continuity question for the governance/MRM layer relied on for SR 11-7 / SS1/23-style evidence [inference].

Tracked changes

• 2026-07-22 — Fifth Annual Enterprise AI Report published (n=639; BARC fieldwork; NA/UK/Europe; FS, life sciences, public sector) [S-2026-07-22-domino-enterprise-ai-report].
• 2026-08-27 — Thomas Robinson (COO) appointed CEO; co-founder Nick Elprin becomes CPO, President and board chair; strategy restated as “enterprise AI solutions platform provider” with forward-deployed engineering; investors NVIDIA, Snowflake, NetApp, UBS named [S-2026-08-27-domino-robinson-ceo]. Captured 2026-09-08 (catch-up).

Open Questions

• Does the solutions pivot alter the roadmap or investment in the AI-governance / MRM module that FS customers use for model-inventory and validation evidence? The release is silent [S-2026-08-27-domino-robinson-ceo].
• Is the “global investment firm” behind the quant-research agent a UBS engagement, given UBS’s investor role? Not stated [S-2026-08-27-domino-robinson-ceo].
• How does Domino’s self-reported “fully integrated governance” category map to external benchmarks (SS1/23, EU AI Act readiness, ISO/IEC 42001)? Carried over from [S-2026-07-22-domino-enterprise-ai-report].

Sources

• S-2026-07-22-domino-enterprise-ai-report — Fifth Annual Enterprise AI Report via Computer Weekly analysis (medium authority; vendor-commissioned, independently fielded).
• S-2026-08-27-domino-robinson-ceo — CEO appointment press release, fetched in full from domino.ai (medium authority; primary, self-interested; appointment facts echoed by secondary outlets not fetched).