Companies · AI / ML
SAN FRANCISCO · CA, USA · AI / ML · refined from filed group “Other” · founded 2012 · http://optimizely.com
Diligence memoA one-page analyst read on Optimizely, Inc. — recommendation, valuation, rhythm, risks.→Optimizely, Inc. looks fair against its niche peers and is dormant on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the ai/ml 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.
Optimizely, Inc. is one of 2067 AI / ML companies tracked from SAN FRANCISCO, CA, USA, on record since 2012. By capital raised it ranks among the largest (ahead of 98% of sector peers), and among the largest 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”
The first all-in-one operating system for marketing
At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We help companies around the world orchestrate their entire content lifecycle, monetize every digital experience and experiment across all customer touchpoints – all through Optimizely One, the leading digital experience platform that powers every phase of the marketing lifecycle through a single, AI-accelerated workflow. Optimizely has nearly 1500 employees across our 21 global offices and has 700+ partners. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. At Optimizely, we live each day with a simple philosophy: large enough to serve, small enough to care. Learn more at optimizely.com.
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). No record for: Pre-Seed, Seed, Series A — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 40%.
Round size and date are reported; the stage label is inferred from round size (latest is Series C — a $40M–$100M round). Valuation is modeled from stage benchmarks scaled by the ai/ml sector profile. Directional, not a quoted figure.
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 98% of sector peers (real $). Modeled value above 98% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series C) 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 6.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Unbabel, Inc. | Series C | $74.2M | $2.5B | 1.52× |
| Optimizely, Inc. this company | Series C | $201.4M | $2.0B | 1.27× |
| Clara Holdings Ltd | Series C | $95.0M | $1.7B | 1.02× |
| Clarity AI, Inc. | Series C | $104.5M | $1.6B | 0.98× |
| Jupiter Intelligence, Inc. | Series C | $76.7M | $1.5B | 0.93× |
| Apex.AI, Inc. | Series C | $70.0M | $1.4B | 0.87× |
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. |
|---|---|---|---|---|---|
| Series B | $33.7M | 2013-04-08 | $187.1M | $1.3B | 85% |
| Series C | $57.0M | 2014-04-21 | $380.0M | $2.3B | 85% |
| Series C | $58.5M | 2015-09-30 | $390.0M | $2.4B | 85% |
| Series C | $2.2M | 2017-04-17 | $15.0M | $92.0M | 90% |
| Series C | $50.0M | 2019-06-03 | $333.3M | $2.0B | 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 |
|---|---|---|---|
| Peter Fenton | — | 15 other | 2013-04 |
| Ilya Fushman | — | 10 other | 2015-09 |
| Scott Weiss | — | 9 other | 2014-04 |
| Lars Dalgaard | — | 4 other | 2017-04 |
| Dan Siroker | — | 1 other | 2013-04 |
| James B. Larson | — | 1 other | 2019-06 |
| Peter B. Fenton | — | 1 other | 2019-06 |
| Dan B. Siroker | — | — | 2019-06 |
| David B. Schwarzbach | — | — | 2019-06 |
| David Schwarzbach | — | — | 2017-04 |
| Derrick B. Alesevich | — | — | 2019-06 |
| James Larson | — | — | 2017-04 |
| Lars B. Dalgaard | — | — | 2019-06 |
| Michael B. Kondoleon | — | — | 2019-06 |
| Mike B. Volpi | — | — | 2019-06 |
| Peter B. Koomen | — | — | 2019-06 |
| Peter Koomen | — | — | 2013-04 |
Optimizely, 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 |
|---|---|---|---|---|---|
| Electric AI, Inc. | AI / ML | Series C | $208.2M | $524.4M | same sector · same stage |
| Lithium Technologies, Inc. | Other Technology | Series C | $196.2M | $2.7B | network1 shared operator · same stage |
| CAST AI Group, Inc. | AI / ML | Series C | $153.5M | $569.2M | same sector · same stage |
| New Relic Inc | Other Technology | Series C | $214.7M | $257.6M | network1 shared operator · same stage |
| Baron App, Inc. | Software / Tech | Series C | $187.8M | $23.8M | network1 shared operator · same stage |
| Horizon 3 AI, Inc. | AI / ML | Series C | $148.5M | $554.1M | same sector · same stage |
| PAIGE.AI, Inc. | AI / ML | Series C | $145.5M | $316.1M | same sector · same stage |
| Zumper, Inc. | Other Technology | Series C | $172.2M | $575.3M | network1 shared operator · 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 |
|---|---|---|---|---|
| Klaviyo, Inc. Klaviyo unifies marketing and service with its AI-first B2C CRM. Try out omnichannel marketing software, powered by K:AI agents to deliver personalised experiences across email marketing, WhatsApp, and more. | AI / ML | Series D+ | $2.2B | 77% |
| People.ai Harnesses business activity to unlock growth. | AI / ML | — | — | 76% |
| Sprites The AI performance marketing agent for entrepreneurs and growth teams | AI / ML | — | — | 76% |
| Berry Scale customer success and onboarding with AI | AI / ML | — | — | 76% |
| Auxos Simulations of real people for market research | AI / ML | — | — | 76% |
| Gigacatalyst Let software users build new features with our in-app AI agents | AI / ML | — | — | 76% |
| Kestral We automate your entire product development lifecycle. | AI / ML | — | — | 76% |
| Zaz OS Lovable for internal products | AI / ML | — | — | 75% |
See where Optimizely, 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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