ZalosFall 2025Active☆Watch⊞Compare

Zalos is one of 2067 AI / ML companies tracked from London, United Kingdom, on record since 2025. By capital raised it ranks mid-pack (ahead of 62% 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”

Computer Agents for Finance tasks like reconciliation, in your system!

*Eliminate your Finance Operations grunt work!* ⚡Computer Agent logs into existing systems (e.g., ERP, Accounting, other CFO systems) ⚡Automates Finance processes (e.g., pricing, billing, month-end) ⚡Uploads & submits in your system (e.g., create journal entry) *The Blockers ➜ Your Finance Systems:* Finance Operations is buried in repetitive tasks, driving: ❌ Lack finance visibility for decision-making ❌ Wasted time by in-house or outsourced teams ❌ Mistakes and delays from human-driven processes Barriers to FinOps automation have included: 🚨 Legacy ERPs with limited AI 🚨 Authentication-protected websites & portals 🚨 Too many Finance Systems that lack full integrations It doesn’t have to be this way. ⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻ *The Breakthrough ➜ Zalos:* Zalos Agents run your rule-based processes, using your existing Finance applications: ⭐ Our agents automate processes based on simple instructions (e.g., Screen Recording, PDFs) ⭐ Native handling of ERPs or other applications (e.g., 2FA, Captcha) ⭐ Superior performance from our FinOps libraries (e.g., Data Extraction & Harmonization, Reconciliation, etc.) Customer story: FROM: In the Bay area, a Finance Manager was wasting 8 days (!) per month: ✖️ Downloads transactions from Corporate Credit Cards & legacy Banks ✖️ Uploads into NetSuite and manually categorizes 100s of transactions USING ZALOS: Finance Manager schedules ‘run process’ weekly: ✔️ Zalos handles 2FA to download & submit required transactions ✔️ Zalos operates NetSuite to categorize >60% outstanding transactions * No browser required: Zalos works silently in the background, whilst continuously improving itself. Gaining 2 days per week was transformational. The Finance Manager could 🟪 Reduce financial risks with closer inspection (e.g., debt covenants) 🟪 Catch cash leakages by spotting suppliers being paid at generous terms 🟪 Be a strategic partner to the CEO & business with better analysis ⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻ Zalos transforms your Finance Operations: ☑️ Scale without headcount - don’t let Operations teams be a bottleneck ☑️ Smarter every day, with evals & RL-finetuning driving a self-performing system ☑️ Built for Enterprise-grade security and screen records every automation for audit ➡Interested? Request demo here: https://www.zalos.ai/contact-us

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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.

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

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