Companies · Computers
SAN FRANCISCO · CA, USA; Remote · Computers · founded 2025 · https://modelence.com
Diligence memoA one-page analyst read on Modelence, Inc. — recommendation, valuation, rhythm, risks.→Modelence, Inc. looks over-valued against its niche peers and is active on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the software/compute sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Modelence, Inc. is one of 1370 Computers companies tracked from SAN FRANCISCO, CA, USA; Remote, on record since 2025. By capital raised it ranks mid-pack (ahead of 64% 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”
Build production-ready apps with AI
You built the demo in a weekend. Now you need auth, a prod-grade database, real-time events, AI observability, cron jobs, email, monitoring… and you needed them yesterday. We spent a decade at our previous startup, building a $500M platform while scaling to millions of users and customers like Meta & Netflix. Now we're standardizing how web applications are built with an open-source framework and AI App Builder, so non developers can build reliable production apps and not just prototypes. Modelence is a batteries-included platform with a dedicated web app framework that's designed for building production grade apps with AI, abstracting away the standard building blocks: - Authentication - Database - Hosting - AI integration - Cron jobs - Live / real-time data - Email integration - Monitoring Most AI app builders just stitch together multiple services and existing frameworks. The reliability drops hard because integrations between different parts break. Modelence defines a single full-stack framework with dedicated cloud infrastructure, where these integrations are already built into the framework and don't need to be built for every app.
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.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). Ladder is contiguous — every modeled rung has a record.
Round size and date are reported; the stage label is inferred from round size (latest is Seed — a $1.0M–$4.0M round). Valuation is modeled from stage benchmarks scaled by the software/compute sector profile. Directional, not a quoted figure.
Benchmarked against 1370 companies in Computers. 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 64% of sector peers (real $). Modeled value above 32% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Seed) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #2 of 24.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Omni Instrument Inc. | Seed | $4.0M | $13.5M | 2.01× |
| Modelence, Inc. this company | Seed | $3.9M | $13.4M | 2.01× |
| Miren, Inc. | Seed | $3.0M | $12.2M | 1.82× |
| iCompute AI LLC | Seed | $4.0M | $9.5M | 1.43× |
| Hologress Inc | Seed | $3.0M | $8.4M | 1.26× |
| Marvix AI, Inc. | Seed | $2.8M | $8.4M | 1.25× |
| Loca US, Corp. | Seed | $3.3M | $7.7M | 1.15× |
| Red Oak Development, Inc. | Seed | $2.6M | $7.6M | 1.13× |
| Comprehend PT Inc. | Seed | $2.0M | $7.5M | 1.11× |
| Una Software US Corp. | Seed | $2.0M | $7.2M | 1.08× |
| Clinware Solutions, Inc. | Seed | $2.0M | $7.1M | 1.06× |
| IndoorGeo, LLC | Seed | $2.7M | $6.7M | 1.01× |
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. |
|---|---|---|---|---|---|
| Pre-Seed | $550K | 2025-05-23 | $3.1M | $1.7M | 90% |
| Seed | $3.9M | 2025-05-23 | $19.3M | $13.4M | 90% |
| Seed | $3.9M | 2025-05-23 | $19.3M | $13.4M | 90% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
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.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| Aram Shatakhtsyan | — | — | 2025-05 |
Modelence, Inc. 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 |
|---|---|---|---|---|---|
| Skeema Inc | Computers | Seed | $3.8M | $6.7M | same sector · same stage |
| DealerStar Inc. | Computers | Seed | $4.0M | $8.0M | same sector · same stage |
| iCompute AI LLC | Computers | Seed | $4.0M | $9.5M | same sector · same stage |
| Omni Instrument Inc. | Computers | Seed | $4.0M | $13.5M | same sector · same stage |
| Basic6, Inc. | Computers | Seed | $4.1M | $8.2M | same sector · same stage |
| LicenseStream, Inc. | Computers | Seed | $4.3M | $9.1M | same sector · same stage |
| Tournamentone Corp | Computers | Seed | $4.4M | $20.4M | same sector · same stage |
| Millhouse 1889 LLC | Computers | Seed | $3.4M | $6.7M | same sector · same stage |
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 |
|---|---|---|---|---|
| Halluminate Data and RL environments to automate knowledge work | AI / ML | — | — | 77% |
| Artillery The complete production quality platform. AI-powered E2E testing,… | AI / ML | — | — | 75% |
| Eventual Building the AI data engine for any modality and scale | AI / ML | — | — | 75% |
| Wordware AI agents you can rely on | AI / ML | — | — | 74% |
| Daily Conversational Voice and Multimodal AI built with Open Source | AI / ML | — | — | 73% |
| Crusoe Energy Holdings Inc. Crusoe provides next-gen AI infrastructure and cloud compute using an energy-first approach. Deploy AI workloads at scale with reliable performance and 24/7 support. | AI / ML | Growth/Late | $11.0B | 73% |
| BioStack Platforms Real world training envs for healthcare AI models | Pharma | — | — | 73% |
| PropRise The AI platform for CRE investment teams | Insurance | — | — | 73% |
See where Modelence, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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