throxySpring 2025Active☆Watch⊞Compare

throxy is one of 1063 Fintech companies tracked from London, United Kingdom, on record since 2025. 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”

Vertical AI agents that run the sales funnel on autopilot

throxy builds vertical AI agents that book meetings for software companies selling into traditional industries: manufacturing, logistics, education, and finance. Outbound is broken. Generic automation gets ignored, and decision-makers in legacy sectors are hard to reach. Most of your TAM isn't even on LinkedIn, and tools like Clay, Apollo, and ZoomInfo only cover about 65% of the market. throxy fixes this by running bespoke, fully managed outbound systems for software sales teams trying to crack these industries. We use proprietary scraping tools to map your entire addressable market, then combine AI agents with human experts to deliver hyper-personalised email campaigns and human cold calling that is consistently generating six-figure qualified pipelines. Since 2023, throxy has powered outbound for B2B software companies, from industrial SaaS to fintech providers, replacing the need for internal SDR teams or stacks of tools with a solution that outperforms on both speed and quality. Today, we have a team of 55 across London and Cape Town, booking on average 8 to 12 qualified meetings per month per client, with some clients seeing 20+ in their first weeks after we doubled down on human-led cold calling. AI handles the data: building custom databases, scoring leads against your ICP, and personalising outreach at scale. Humans handle the conversations: real cold calls, real emails, real relationships. That's the difference between us and every AI SDR on the market. Our founding team has built AI at JP Morgan, scaled businesses from age 14, and led enterprise sales from Seed to Series D. We're not just automating outbound, we're redefining what sales execution looks like for software companies selling into traditional industries. throxy is the AI SDR purpose-built for the sectors software forgot.

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.

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

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