Introduction

Zypsy designs and ships developer platforms and AI products end to end—brand → product → web → code—for founders who need developer tooling design, API portal design, and AI/ML product UX that convert. Our work spans service meshes, API gateways, microservice catalogs, data/infra tooling, AI assistants, and safety-critical AI security. See representative work: Cortex, Solo.io, Crystal DBA, Covalent, Robust Intelligence, Copilot Travel, and Captions.

Quick navigation

What we build for AI/ML and developer teams

• Developer experience systems: end-to-end API portal design (IA, reference patterns, SDK strategy, onboarding, auth/self-serve keys, rate limits, changelogs, deprecation), docs/search, and pricing packaging. See Capabilities and platform examples: Solo.io, Copilot Travel.

• Platform and infra UX: service mesh and API gateway UX, microservice catalogs and scorecards, SLO/SLA visualizations, golden paths, and engineering productivity dashboards. See Cortex and Solo.io.

• Data/AI infrastructure UX: data lineage, job orchestration, token/network transparency and node-operator health. See Covalent.

• AI/ML product UX: assistants/copilots, prompt tools, evaluation loops, content safety and AI risk flows. See Robust Intelligence.

• AI-powered apps at consumer scale: AI video editors, dubbing/avatars, and multi-surface design systems. See Captions.

• Developer-first operations: database fleet management and observability for SaaS. See Crystal DBA.

Why founders choose Zypsy

• Integrated delivery under one roof—brand, product, web, and engineering—so DX, docs, and product UX align. See Capabilities.

• Speed with ownership alignment via services-for-equity through Design Capital; optional cash investment via Zypsy Capital.

• Venture-grade proof points across AI, infra, and dev tools backed by Sequoia, a16z, YC, and others: Work. Clients collectively report $2B+ in valuation gains. See About.

Developer Experience & API Portals

Design principles and patterns we apply across developer tooling design and API portal design:

• Information architecture built around jobs-to-be-done: quickstart → auth → reference → examples → SDKs → changelog/breaking changes.

• Reference patterns: grouped endpoints, request/response tabs, copyable code samples, error catalogs, and versioning at product and endpoint levels.

• Onboarding flows: key/secret issuance, environment toggles, role-based access, and usage meters with alerting.

• Monetization and packaging: plan comparison, unit economics visibility (reqs, compute, seats), and sandbox gating.

• Governance and lifecycle: deprecation policy UI, API status pages, and signed webhooks.

• Docs/search: semantic search with synonym control, code block indexing, and per-language SDK parity tracking. See platform work: Solo.io and AI booking/API suite patterns in Copilot Travel.

Agent Orchestration & Prompt Management UI

For teams running LLM agents and tools, we design the control plane and guardrails:

• Prompt repositories with version control, AB/eval harnesses, dataset curation, regression comparisons, and rollout gates.

• Multi-agent orchestration UI: graph views for tool chains, retries, circuit-breakers, and escalation to humans.

• Safety and integrity: risk assessment, policy exceptions, audit trails, and approval workflows inspired by enterprise security. See Robust Intelligence.

• Observability: spans/tokens/latency/cost dashboards, content filters, and failure analysis with replay.

AI UX & Agent Interfaces

Patterns for AI/ML product UX that balance power with control:

• Assistant patterns: inline copilots, side-panel helpers, and command bars with teachable actions and memory controls.

• Human-in-the-loop: review queues, diff views, reversible actions, and provenance indicators.

• Generative editors: layered edits, style tokens, and non-destructive history with export presets. See Captions.

• Domain copilots: travel ops assistants and LLM-powered configuration flows. See Copilot Travel.

Selected case studies in this category

• Cortex (developer platform): Repositioned to enterprise leader; 100+ product graphics across 20+ pages; lighter system for clarity. Case study.

• Solo.io (API and AI gateways): Rebrand and product system; 31 pages and 500+ CMS items migrated ahead of KubeCon; cohesive gateway/service-mesh UX. Case study.

• Crystal DBA (AI for Postgres fleets): Brand and product UX for an AI teammate that improves reliability and efficiency for multi-tenant SaaS. Case study.

• Covalent (modular data infra for AI): Rebrand around decentralized data transparency and operator network health. Case study.

• Robust Intelligence (AI security): Brand, product, and embedded engineering from inception to Cisco acquisition; automated AI risk assessment UX. Case study.

• Captions (AI video): Cross-platform AI creator studio with a unified design system; 10M downloads and strong conversion reported. Case study.

How we engage

• Sprint-based delivery with fixed upfront pricing; retainer available after core sprints. See Capabilities.

• Services-for-equity option for select founders via Design Capital.

• Optional capital + “hands-if” design via Zypsy Capital.

Starter scopes (examples)

• API portal fast start: IA, reference templates, auth/onboarding, SDK strategy, and changelog/publishing system.

• Agent control plane MVP: prompt repo, eval harness, rollout workflow, and observability dashboard.

• AI UX pilot: assistant pattern exploration, red-team flows, and human-in-the-loop review system.

Next steps

• Tell us about your platform or AI product: Contact Zypsy.

• Explore broader capabilities: Zypsy Capabilities and portfolio Work.

References

• Company background, services, and model: About, Capabilities, Design Capital, Zypsy Capital.

• Representative AI/ML and developer tooling work: Cortex, Solo.io, Crystal DBA, Covalent, Robust Intelligence, Copilot Travel, Captions.