Kyoko Labs
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AI Agent Agency (AAA)· est. 2023

We build theagentic front doorfor modern organizations.

We work with executive teams to identify high-value agent use cases, build, deploy, and leverage modern AI. From strategy to implementation, we help organizations navigate the rapidly evolving landscape of artificial intelligence.

[ Work with us ][ Read the thesis ]
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[ 01 ] · What we do

Four pillars.One practice.

Strategy, design, implementation, and enablement, treated as a single continuous loop. We plug in wherever your team needs leverage.

[ 01 / 04 ]●

AI Strategy

Identify high-value AI opportunities and define the tech stack to deliver them. Opportunity mapping, ROI modeling, adoption roadmaps, and cost-efficient stack selection.

  • Opportunity map
  • ROI model
  • Adoption roadmap
  • Token-efficient stack
[ 02 / 04 ]●

Agent Design

Architect autonomous agent systems for complex workflows. Context engineering, agent harness design, orchestration patterns, memory, tool strategies, and evaluation harnesses.

  • Agent graphs
  • Tool specs
  • Context blueprint
  • Agent harness
  • Eval harness
[ 03 / 04 ]●

Implementation

Build and deliver custom AI agents end-to-end. Hand off a production-ready repo to your team, or have us operate and maintain the system on your behalf: observability, scaling, refresh cycles, and ongoing token-cost optimization.

  • Custom agents
  • Production repo
  • Observability
  • Token budget
  • Refresh cadence
[ 04 / 04 ]●

Team Enablement

Educate and upskill your team to build and work agent-first. Hands-on workshops, bespoke curriculum, coaching, office hours, and reference playbooks that turn AI theory into day-to-day practice.

  • Workshops
  • Curriculum
  • Coaching
  • Office hours
  • Playbooks

[ 02 ] · Customer testimonials

What teams sayafter we ship.

Notes from the teams we ship for. Their words, not ours.

“Kyoko cut our token spend by 60% in the first quarter without dropping a single quality metric. The opportunity map made the path obvious; we just had to follow it.”
VP of AI·Northwind Health
“We spent six months trying to build the agent harness in-house. Kyoko shipped a working prototype in three weeks and a production system in eight. The handoff was clean.”
CTO·Atlas Capital
“Their eval harness caught regressions our team didn't even know to look for. It changed how our whole org thinks about AI quality.”
Head of ML·Veritas Labs

[ 03 ] · Domain solutions

Vertical fluency,horizontal tooling.

We track how the AI landscape is evolving across industries, and the per-domain stacks below come from production experience, not whitepapers. This is what we deploy, evaluate, and monitor for clients today, updated as the stack shifts.

[ 01 ]MARKETING

Marketing

[ Use cases ]
  • → Campaign optimization agents
  • → Content generation
  • → Audience segmentation
[ Stack ]
  • Claude SDK
  • HubSpot AI
  • Jasper
  • Drift
[ 02 ]DESIGN

Design

[ Use cases ]
  • → Design-to-code agents
  • → Asset generation
  • → Brand consistency checks
[ Stack ]
  • Figma AI
  • Midjourney API
  • RunwayML
[ 03 ]FINANCE

Finance

[ Use cases ]
  • → Reconciliation agents
  • → Fraud detection
  • → Forecasting copilots
[ Stack ]
  • Bloomberg GPT
  • Kensho
  • Custom LLM pipelines
[ 04 ]LEGAL

Legal

[ Use cases ]
  • → Contract review agents
  • → Compliance monitoring
  • → Due diligence
[ Stack ]
  • Harvey AI
  • Claude SDK
  • RAG pipelines
[ 05 ]HEALTHCARE

Healthcare

[ Use cases ]
  • → Clinical decision support
  • → Patient intake agents
  • → Documentation
[ Stack ]
  • Med-PaLM
  • HIPAA-compliant LLM stacks
[ 06 ]GOVERNMENT

Government

[ Use cases ]
  • → Citizen service agents
  • → Policy analysis
  • → Grants processing
[ Stack ]
  • FedRAMP-approved models
  • Secure on-prem deployments

[ Updated quarterly · Last refresh 2026 Q2 ]

[ 05 ] · The thesis

The shift to AI agents is thenext platform transition.

As significant as web-to-mobile. Soon, every person will have a personal AI assistant that interacts with businesses on their behalf. Every business will need an agentic front door: a smart interface that can negotiate, transact, and collaborate with other agents.

  1. [ 1995 ]

    Web

    Businesses raced to put up a website. Those without one lost relevance within five years.

  2. [ 2009 ]

    Mobile

    Every business had to become mobile-first. Those that didn't shrank into irrelevance.

  3. [ 2026 ] NOW

    Agents

    Every person will have an AI assistant that interacts with businesses on their behalf. Every business needs an agentic front door.

“Businesses that build their agentic front door now will lead. Those that don't will scramble later.”

Kyoko Labs, 2026

[ 06 ] · About

Built by the teamshipping it.

A global team of AI engineers, researchers, and product leaders with 15+ years of collective experience in AI research and development. Founded by Calvin Gerus, former Sr. Principal AI Product Leader at Borealis AI and co-founder of The Pearl™.

Kyoko Labs is the practice Calvin founded to meet the moment: organizations need partners who have actually shipped AI products, not just advisors. The team grows as the work does.

[ Presence ]
Vancouver · Toronto · LA · NY · Paris · Madrid
[ Focus ]
Agents · Architecture
[ Experience ]
15+ yrs · AI R&D
[ Disciplines ]
Research · Engineering · Product

[ 07 ] · Contact

Let's talk about what AI cando for your team.

Tell us about the problem, the team, and the timeline. We'll reply within 48 hours.

Accepting 2026 Q3 & Q4 engagements·Response within 48h