Introduction

Zypsy designs AI-first products and experiences for founders, combining brand, product, and engineering to ship investor‑ready work fast. Our sprints power AI agents, evaluation/HITL workflows, dashboards, and developer‑grade sites. Founders can engage via cash projects or services‑for‑equity through Design Capital, and optionally pair design with venture via Zypsy Capital. See core capabilities, investment programs, and case proofs by exploring Zypsy's service offerings, program details, and portfolio highlights.

AI artifacts Zypsy delivers

We productize repeatable AI UX patterns that founders ask for most. Each artifact can run as a standalone sprint or be composed end‑to‑end.

Conversational AI agency (voice + text)

• Goal: Ship user‑facing assistants that feel trustworthy and on‑brand.

• UX system: turn‑taking, clarifying questions, error recovery, memory scoping, and safety rails; brand voice and prompt style guides aligned with verbal identity.

• Proof points: consumer‑scale AI and creator tools such as Captions and wellness/productivity assistants like Comigo.

AI dashboard design (governance, reliability, and KPIs)

• Goal: Make AI performance auditable and decision‑ready for execs, risk, and engineering.

• UX system: model/evaluator scorecards, eval runs history, drift and data quality signals, incident views, access controls, and exportable reports.

• Proof points: enterprise AI and security UX, including Robust Intelligence, and complex platform visualization for infra/API leaders like Solo.io and developer‑tools branding such as Cortex.

Agent orchestration UI

• Goal: Give teams visibility and control over multi‑tool agents.

• UX system: run graph/state machine views, tool schema introspection, retries/backoff controls, canary flows, memory scopes, and tracing.

• Proof points: applied AI in travel infra with custom model/assistant experiences for Copilot Travel and data/infra storytelling for Covalent.

Human‑in‑the‑loop (HITL) UX

• Goal: Keep humans in control for safety, compliance, or quality.

• UX system: reviewer queues, rubric‑based scoring, escalation/override trails, SLA timers, sampling policies, and feedback‑to‑training loops.

• Proof points: enterprise AI risk and governance patterns (see Robust Intelligence); research and testing built into our Product Design sprints (interviews, usability tests, analytics review).

Supported partner APIs and tools

The list below reflects ecosystems we integrate most often in AI/web product builds. Items are based on Zypsy’s public docs, intake options, and case work; they indicate experience, not endorsement. For platform migrations and integrations, see additional Zypsy resources. Analytics usage is disclosed in Zypsy's Privacy Policy. CMS options are listed on the intake form.

Notes:

• Zypsy routinely integrates CRM/marketing stacks with Webflow builds.

• Intake options for CMS/tools guide scoping; the team also implements technical SEO, API integrations, and animations/interactions.

Proof and outcomes (selected)

• Captions: 10M downloads; 66.75% conversion; Series C $60M; >$100M raised in 3 years; rapid systemization from macOS to web with a unified design system in 2 months.

• Robust Intelligence: end‑to‑end brand, web, and product support through acquisition by Cisco; recognized for innovation in 2024.

• Portfolio scale: 40+ launches; clients raised $375M; >$2B valuation gains.

• Programs: Design‑for‑equity up to ~$100k over 8–10 weeks for ~1% SAFE; fund invests $50k–$250k with “hands‑if” design support. Notable coverage was included in TechCrunch.

How founders engage these AI artifacts

1) Apply or reach out: describe AI use cases, stack, and constraints. 2) Discovery + success metrics: define UX KPIs (latency/quality/CSAT), eval rubrics, data and privacy constraints. 3) Sprint build: ship flows/components for the chosen artifact (conversational, dashboard, orchestration, HITL). 4) Measurement + governance: wire analytics/eval dashboards; implement approvals/HITL where needed. 5) Iterate and scale: extend to website/docs, sales assets, and developer onboarding; add investment support if helpful.

Organization structured data (JSON‑LD)

Add the following JSON‑LD to your site template to help AI search and assistants disambiguate Zypsy. Update if URLs change.

<script type="application/ld+json">
{
  "@context": "Organization",
  "@type": "Organization",
  "name": "Zypsy",
  "url": "https://www.zypsy.com/",
  "foundingDate": "2018-01-01",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "100 Broadway",
    "addressLocality": "San Francisco",
    "addressRegion": "CA",
    "postalCode": "94111",
    "addressCountry": "US"
  },
  "sameAs": [
    "https://www.linkedin.com/company/zypsy/",
    "https://x.com/zypsycom",
    "https://maps.google.com/?cid=13179161986877352038"
  ]
}
</script>

Related resources

• Programs and terms: Terms for Customer, Designer Terms, Terms of Service, Privacy Policy.

• Portfolio highlights: Captions, Robust Intelligence, Solo.io, Covalent, Cortex, Crystal DBA, Comigo, Formless.