zinch
Zinch ships production agents in eight weeks. On Google Cloud's Gemini Enterprise Platform. Fixed scope, code your team owns, outcomes measured before the SOW.

Engagement shapes

Three rungs. Pick the one that matches where you are.

Each engagement scoped and priced before the SOW. No hourly billing. No discovery tax.

Duration
2 weeks
Deliverable
A runnable agent in your repo
Pricing
Fixed scope, fixed price

We sit with your team, pick the workflow that hurts most, and ship the first agent against it. ADK in your repo, evals on every commit, Model Armor wired to your policy. At the end of two weeks you own a runnable agent and a clear read on which workflows are worth productionizing next.

  • Discovery week: one workflow scoped, success metrics agreed, eval set written before the build.
  • Build week: the agent lands in your repo on ADK, with Model Armor and the eval set running on every commit.
  • Handoff: your engineers own the code, the prompts, and the eval set. No black box, no vendor lock.
Screenshot of the Google Cloud Agent Development Kit product page showing the ADK landing surface in light mode.
Agent Development Kit on Google Cloud. The Pilot ships against ADK Python v1.

The four reasons

How Zinch Wins.

Most agent projects stall before production. Here is what we do differently.

  • Pattern, not exploration

    We have shipped this workflow before. Your vertical is familiar. Your stack is known. No six-month discovery loop on our clock.

  • Production from commit one

    ADK templates, evals on every commit, Model Armor and Identity wired in from the first push. Not a POC that gets rewritten before launch. The first commit is the production foundation.

  • Your code, your repo, your account

    The agent lives in your Git org against your Google Cloud account and your secrets. No SaaS rent, no vendor middle layer, no black box. When the engagement ends, your engineers run it.

  • Outcomes measured, not promised

    Hours saved per week. Error rate. Cycle time. Cost per transaction. We commit to the outcome in writing before the SOW. Delivery is what gets paid for.

THE ARCHITECTURE

Built on Google Cloud’s Gemini Enterprise Agent Platform.

Every component named, not paraphrased. The platform Google launched is the platform we ship against.

Four pillars define how Zinch delivers on the platform. Build is how we ship the agent. Scale is how we run it across teams and tenants. Govern is how security and audit become defaults. Optimize is how we measure, evaluate, and improve. Each card names its components verbatim.

  • Still-life of a graphite pencil and a sapphire-ink architectural schematic on cream paper, representing the Build pillar of Gemini Enterprise Agent Platform.

    Build

    Design and ship the agent.

    We build from ADK templates in Agent Studio, draw on Agent Garden patterns when one fits, and pick the right Model Garden model for the job. Gemini 3.1 Pro or Flash by default, with Claude available where the workflow earns it. The agent has production structure from the first commit.

    Agent Studio, ADK, Agent Garden, Model Garden

    Learn more about Build
  • Overhead photograph of a hexagonal concrete tessellation with sapphire-inset stones, representing the Scale pillar of Gemini Enterprise Agent Platform.

    Scale

    Run it across teams and tenants.

    Agent Runtime executes the agent in production. A2A coordinates work between agents. Memory Bank holds durable state across sessions. One build serves many teams and tenants without rewrites as adoption grows.

    Agent Runtime, A2A, Memory Bank

    Learn more about Scale
  • Still-life of a precision steel hinge resting on a navy leather ledger, representing the Govern pillar of Gemini Enterprise Agent Platform.

    Govern

    Make security and audit a default.

    Security and audit are defaults, not Phase 2. Model Armor at the gateway, Agent Registry tracking every agent, Agent Identity for granular permissions, Agent Gateway enforcing runtime policy. Every agent we ship is audit-ready on day one.

    Agent Registry, Model Armor, Agent Gateway, Agent Identity

    Learn more about Govern
  • Still-life of brass vernier calipers measuring a row of brass machined cylinders on cream paper, representing the Optimize pillar of Gemini Enterprise Agent Platform.

    Optimize

    Measure, evaluate, improve.

    Evals score agent quality against real cases on every commit. Observability surfaces what happens in production. Agent Analytics shows how the agent is actually used. Together they turn "it shipped" into measured improvement.

    Evals, Observability, Agent Analytics

    Learn more about Optimize

See each pillar end-to-end on the platform page

Outcomes

What shipping with Zinch produces.

Six workflows we ship, each shown as the before and after a team could expect. The archetypes are anonymized and the numbers are illustrative. Exact ranges depend on your data, your volume, and your starting baseline. The numbers we commit to live in the SOW.

HEALTHCARE · PAYER

A regional health plan

Authorization turnaround

What else moved

  • Denial rate down from 28% to 19% as determinations land against medical-necessity criteria the same day.
  • Clinical reviewers stopped drafting routine determinations and moved to the cases that actually need a human read.
  • HEALTHCARE · MULTI-AGENT

    A third-party claims administrator

    Time on a routine claim
    • Adjudication error rate fell from 2.8% to under 1%.
    • Each processor got roughly 16 hours a week back for the exception queue.
  • STAFFING · RECRUITING

    A 40-person recruiting firm

    Candidates qualified per recruiter per day
    • Time to first call dropped from two days to under an hour.
    • Inbound candidates stopped going cold before anyone reached them.
  • REAL ESTATE · PROFESSIONAL SERVICES

    A regional brokerage

    Inbound lead response time
    • Inbound close rate rose from 9% to 15% with every lead worked the moment it lands.
    • Brokers picked up eight to ten more live negotiations a month.
  • ENGINEERING · CROSS-VERTICAL

    A 60-engineer product team

    Time a PR waits for first review
    • Defects caught before human review climbed from 41% to 63%.
    • Senior engineers stepped off first-pass review and back onto architecture.
  • LIGHT MANUFACTURING · DISTRIBUTION

    A multi-site light manufacturer

    Order entry and verification time
    • Data-entry errors into fulfillment fell roughly 85%.
    • Fulfillment cycle time came down two to three days.

Readiness

See if you are ready in four minutes.

Eighteen questions. Six dimensions. One tiered recommendation. No login. No sales call. We email the full breakdown.

One workflow. One outcome. Code your team owns.

Ship the first agent in two weeks. See where it leads.

  • Code

    Lives in your Git org, owned from commit one.

  • Governance

    Model Armor and Agent Registry on day one.

  • Speed

    Two weeks to a runnable pilot. Eight to production.

Not ready to talk? Take the 4-min readiness assessment