Companies · AI / ML
Zürich · ZH, Switzerland · AI / ML · founded 2022 · https://typewise.app
Diligence memoA one-page analyst read on Typewise — recommendation, valuation, rhythm, risks.→Typewise: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Typewise is one of 2067 AI / ML companies tracked from Zürich, ZH, Switzerland, on record since 2022. 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”
Boosting customer service and sales productivity by 2-3x.
Typewise is an AI-first customer service platform where orchestrated agents resolve requests end-to-end by taking real actions across your stack. Teams describe outcomes in natural language and the platform compiles them into working automations—no flowcharts, no code. You can safely simulate changes and roll them out step by step. Fortune 500 brands such as Unilever and DPD use Typewise to cut support effort by 50%+ while increasing CSAT and NPS. With 200+ integrations, Typewise reads from and writes to CRM, ERP, and other systems to fully resolve cases, handing off to humans only where they add the most value. Hybrid intelligence enables partial hand-offs, review-before-send, and context-preserving resumption—so teams stay in control. Operate natively within Typewise Ticketing, with optional integrations into your existing CRM or helpdesk systems such as Zendesk, Salesforce, or Freshdesk, and enhance agents with a CRM-embedded copilot. A company-specific AI language model keeps every interaction on-brand. EU-hosted and ISO 27001 certified, Typewise delivers measurable ROI in weeks—so you can start small and scale automation with confidence.
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.
Typewise 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 |
|---|---|---|---|---|---|
| a0.dev | AI / ML | — | — | — | same sector |
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Adam | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Afternoon.co | 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 |
|---|---|---|---|---|
| Rulebase AI agents for financial services. | AI / ML | — | — | 80% |
| TypeLess AI messaging API for smarter, faster communication. | AI / ML | — | — | 79% |
| Type The AI-first document editor. | AI / ML | — | — | 79% |
| Draftwise Contract and negotiation AI built for lawyers | Legaltech | — | — | 77% |
| Percept.AI AI support agent for your business that actually works | AI / ML | — | — | 77% |
| Query Vary No-Code LLM Application / Workflow Builder | AI / ML | — | — | 77% |
| 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% |
| RealWise AI Technologies Inc. | Computers | Pre-Seed | $963K | 76% |
See where Typewise sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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