Companies · AI / ML
AI / ML · founded 2025 · https://avoice.co/
Diligence memoA one-page analyst read on Avoice — recommendation, valuation, rhythm, risks.→Avoice: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Avoice is one of 2067 AI / ML companies tracked, 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”
Harvey for Architecture
Avoice is an AI-native workspace for architecture firms that automates the non-design work that takes time away from design. The platform uses AI agents that understand drawings, specifications, schedules, materials, codes, and research. Today, firms using Avoice manage over $300M in active projects on the platform. Architecture is a massive market ($300B+) but a deeply underserved one: highly fragmented, dominated by small firms, and reliant on legacy tools that require heavy customization. AI creates a unique opportunity to deliver firm-specific automation at scale, and Avoice brings these workflows into become the operating system for architectural practice.
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.
Avoice 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 |
|---|---|---|---|---|
| Dataleap AI Employees for the Enterprise | AI / ML | — | — | 76% |
| Glue The Interface Design Canvas for AI agents | AI / ML | — | — | 75% |
| Avoca AI-powered Sales Agent for Service-Based Industries | AI / ML | — | — | 75% |
| OpenProse An open-source operating system for reliable long-running agents | AI / ML | — | — | 74% |
| Abstra Automate finance operations with Python and AI | AI / ML | — | — | 74% |
| WithAI Agent harnesses for asset managers | AI / ML | — | — | 74% |
| Axross Pte Ltd AI-driven HVAC control system for improved energy performance | AI / ML | — | — | 74% |
| AviaryAI Outbound AI voice agents for the financial services industry | Fintech | — | — | 74% |
See where Avoice sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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