Companies · Food & Beverage
San Francisco · CA, USA · Food & Beverage · founded 2025 · https://www.certus-ai.com/
Diligence memoA one-page analyst read on Certus AI — recommendation, valuation, rhythm, risks.→Certus AI: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Certus AI is one of 567 Food & Beverage companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks in the long tail (ahead of 34% of sector peers), and in the long tail 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”
Replacing the restaurant phone line with Voice AI
Certus AI is replacing the restaurant phone line with Voice AI. Restaurants lose up to $100,000 per year per location from missed calls, lost orders, and abandoned hold lines. Staff are overwhelmed. IVRs frustrate customers. Call centers are expensive and impersonal. It’s 2025. Guests don’t leave voicemails or wait on hold. They just move on. Certus is an AI voice agent built for restaurants. It answers every call, 24/7 — taking orders, processing deliveries, booking reservations, upselling, and handling complaints in English, Spanish, French and more. Certus is built to manage the phone line end to end, from the customer call to the restaurant tech stack, with zero human intervention required. It currently integrates with industry-leading systems like Toast, Square, Clover, UberEats, DoorDash, and more. We’re building the voice layer of the modern restaurant — the employee they’ll never fire. We started Certus because we lived the pain. Gurveer (CEO) grew up answering phones in his family’s restaurant and helped operate them, growing from 1 to 11 locations in 7 years. Later, he and Adam (CRO) ran a restaurant growth startup to help others increase revenue, but kept watching clients bleed cash because no one picked up the phone. So we built the solution the industry always wished existed. Until now, this problem was considered unsolvable. But Voice AI has finally crossed the conversational chasm and 72% of consumers now prefer AI over humans as long as it means faster and better service. More importantly, the market is begging for this. The North American restaurant industry crossed $1 trillion in 2024, and it's projected to hit $1.5 trillion in 2025. Yet over $100 billion is still lost annually to missed calls, human error, and outdated tech. As the market continues to grow, so do the losses! Our customers say it best: - “Certus changed my life overnight.” - “We were losing the ability to give great in-house service — the phone was killing us.” - “70% of my business comes through the phone. That’s mine and my 16 staffs livelihood.” - “Before Certus, I used to lose 40 - 60 calls a day…. now my printer just stays printing!” - “I’ve been in the business 38 years. I’ve been waiting for this since then.” Certus is here to fix the $120B phone problem — one call at a time. And in doing so, we’re redefining how the restaurant industry communicates forever, starting with the phone line.
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 567 companies in Food & Beverage. 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 34% of sector peers (real $). Modeled value above 34% 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.
Certus AI 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 |
|---|---|---|---|---|---|
| 44 on Ennis Guest Lodge and Restaurant | Food & Beverage | — | — | — | same sector |
| 4 Guys Beverage Co. | Food & Beverage | Pre-Seed | $500K | $11.5M | same sector |
| All or Nothing Brewhouse | Food & Beverage | — | — | — | same sector |
| Anna Mae's Bakery and Restaurant | Food & Beverage | — | — | — | same sector |
| Arcadia Guesthouse & Restaurant | Food & Beverage | — | — | — | same sector |
| Artisan Pizza Pies of Stillwater, LLC | Food & Beverage | Pre-Seed | $413K | $9.5M | same sector |
| Artisan's Cellar, LLC | Food & Beverage | Pre-Seed | $800K | $6.9M | same sector |
| Ashton Brewing Company | Food & Beverage | — | — | — | 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 |
|---|---|---|---|---|
| Lilac Labs We automate the person taking orders at drive-thrus with a voice AI | AI / ML | — | — | 80% |
| Callab AI AI voice agents for on-prem telephony stack. | AI / ML | — | — | 78% |
| Dialogus Infra for enterprise voice agents. | AI / ML | — | — | 78% |
| Riviera AI Employees for Hotels | AI / ML | — | — | 78% |
| Simple AI AI voice that sells | AI / ML | — | — | 77% |
| Elyra AI Reservation System for Restaurants | Food & Beverage | — | — | 77% |
| Leaping AI AI voice and texting agents | Insurance | — | — | 77% |
| Marr Labs AI-voice agents that are indistinguishable from humans. | AI / ML | — | — | 77% |
See where Certus AI sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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