MountSpring 2026Active☆Watch⊞Compare

Mount is one of 1063 Fintech companies tracked from San Francisco, CA, USA, on record since 2026. By capital raised it ranks mid-pack (ahead of 66% of sector peers), and mid-pack by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

The AI Agent Insurance Carrier

TLDR: Mount is building the AI insurance carrier, starting with liability coverage for deployed AI agents. As everyone moves AI Agents into production and gives them more responsibility, we help businesses insure and secure them. Whenever responsibility shifts from human operators to autonomous systems, so too does the liability that accompanies it. The systems also introduce new risks: agentic software failures, prompt injection attacks, autonomous workflow errors, data leaks, and more. Legacy insurance was not built for this. Existing policies are often silent, ambiguous, or exclude autonomous software, and traditional insurers lack the data and technical capability to assess deployed AI Systems. Our first product, the Mount AI Liability Policy, is built for mid-market and enterprise companies deploying autonomous AI agents in real business processes. We scan and red-team AI deployments, quantify operational risk, help fix vulnerabilities, and insure the residual risk with purpose-built AI liability coverage. Mount is best thought of as a highly automated version of today's commercial insurance carriers, which run on manual workflows, layers of intermediaries, and tens of thousands of employees. AI enables automation of underwriting, pricing, policy issuance, claims, fraud detection, customer support, and distribution. We believe that the best way to use this opportunity is to rebuild those processes from the ground up.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 1063 companies in Fintech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 66% of sector peers (real $). Modeled value above 66% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Mount is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Mount sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Mount, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.