Companies · AI / ML
Remote · OR, USA; Remote · AI / ML · founded 2021 · https://www.dailybot.com/
Diligence memoA one-page analyst read on Dailybot — recommendation, valuation, rhythm, risks.→Dailybot: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Dailybot is one of 2067 AI / ML companies tracked from Remote, OR, USA; Remote, on record since 2021. 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”
Make all team work visible — people and AI agents
Dailybot is the coordination platform for software teams where people and AI agents work side by side. As engineering teams increasingly operate alongside multiple AI agents — coding agents, incident responders, research assistants — the gap between what's being worked on and what the team can actually see has become a critical problem. Dailybot closes that gap. Teams use Dailybot to run async standups, check-ins, retros, and custom workflows directly inside Slack, Microsoft Teams, Google Chat, and Discord. In Dailybot 3, those capabilities now extend to AI agents: every agent can report progress, surface blockers, and be monitored in a dedicated observability layer — all attributed to the humans who delegated the work. The platform combines four capabilities: structured check-ins and forms in chat, AI-powered summaries and blocker detection, no-code workflow automation, and agent infrastructure (API, CLI, open-source skill pack, fleet monitoring). Leaders get a proactive view of what people and agents accomplished together — without adding meetings or dashboards to check. Dailybot is SOC 2 and GDPR compliant, backed by Y Combinator (S21), and trusted by teams at IBM, Samsung, Pixar, and 8,000+ teams worldwide.
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.
| 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.
Dailybot 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.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
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 |
|---|---|---|---|---|
| Daily Conversational Voice and Multimodal AI built with Open Source | AI / ML | — | — | 83% |
| Sourcebot Helping humans and AI agents understand massive codebases | AI / ML | — | — | 81% |
| Tasklet Agents that own the work | AI / ML | — | — | 80% |
| Solari AI Gives non-technical team members agents that work right out of the box | AI / ML | — | — | 78% |
| Hub Real-world training data for frontier AI labs and robotics. | Robotics | — | — | 77% |
| Trace Context-aware orchestration between humans and AI. | AI / ML | — | — | 77% |
| Wordware AI agents you can rely on | AI / ML | — | — | 77% |
| Command AI AI-powered user assistance platform | AI / ML | — | — | 77% |
See where Dailybot sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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