Scalar FieldSpring 2025Active☆Watch⊞Compare

Scalar Field is one of 1063 Fintech companies tracked, 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”

Your Agentic Trading Desk — Building the next era of agentic…

We’re building the agentic trading desk for the new operating system of markets. I used to be a trader at Tower Research and Goldman Sachs, and I’m building Scalar Field with my co-founder Ramakant, who led engineering teams at Microsoft. We’ve both spent our careers at the intersection of finance and technology, and we’re using that experience to rethink how markets are analyzed, tested, and traded in the age of agents. Scalar Field is built around a simple belief: over the next few years, agents will not just help people research markets — they will actively participate in them. They will monitor news, parse filings, track sentiment, test hypotheses, rebalance portfolios, and execute trades. They will turn ideas into strategies, and strategies into live portfolios. But today’s financial infrastructure was not built for that world. Terminals are dashboards. Backtesting tools are fragmented. Execution systems are separate. Market data is hard to unify. And most platforms still assume the human is the only decision-maker. Scalar Field changes that. We’re building an agentic trading platform where users can create financial agents that research data, backtest strategies, monitor market events, and trigger trades when specific conditions are met. The long-term vision is agentic ETFs: portfolios created, managed, and rebalanced by agents around any idea, narrative, event, or market signal. Scalar Field lets users go from thesis to backtest to live portfolio in one place. It is infrastructure for the agentic trading era.

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.

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

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