Details unknown · founded 2025 · https://kaelio.com/
Diligence memoA one-page analyst read on Kaelio — recommendation, valuation, rhythm, risks.→Kaelio: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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 open-source context layer for data agents
Kaelio is the company behind ktx, the open-source context layer that makes data agents reliable. Data agents today fail because they lack structured context and determinism. Metrics are defined in five places, governed in none. Teams spend months on semantic layer projects that never finish. ktx fixes that. Connect your warehouse, BI tools, and docs. ktx builds the context layer automatically. Your team governs it. Any agent can query it. One context layer across your entire data stack.
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 8525 companies in this sector. 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 96% of sector peers (real $). Modeled value above 96% 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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Kaelio is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
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.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Context.dev We give AI agents realtime web context. | AI / ML | — | — | 76% |
| The Context Company Monitor AI agents and understand user behavior | AI / ML | — | — | 75% |
| BentoLabs AI Monitoring and learning layer for long-running agents | AI / ML | — | — | 75% |
| Nessie A shared context layer for you, your team, and your agents. | AI / ML | — | — | 75% |
| nao Labs Open Source Analytics Agent | Software / Tech | — | — | 74% |
| Airbyte, Inc. Context layer for production-grade AI agents | AI / ML | Series B | $724.6M | 74% |
| Zep AI Agent Context Is Hard. We Fixed It. | AI / ML | — | — | 73% |
| Sherloq One place for all your queries, directly on your SQL editor | SaaS / Software | — | — | 73% |
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