AI-NATIVE TRANSFORMATION STUDIO — EST. 2025

Intelligence,made operational.

Seamora designs and ships production-grade AI systems — and embeds them where they compound: inside your operations, your data, and your people.

( 01 ) POSITION

Most companies bolt AI on. We build it in. The pilot that wows a boardroom and dies in a quarter — that is the industry default. Seamora exists to break it. We ship systems that survive contact with production, and we train the people who keep them learning.

Strategy to deployment in weeks, not quarters.
One accountable team, end to end.

( 02 ) WHAT WE DO

Four ways in.

AI Strategy
& Roadmap

A defensible AI position in three weeks: where models create margin, where they don't, and the sequence to capture it.

  • Opportunity & risk audit
  • Build / buy / partner calls
  • 12-month capability roadmap

Agentic
Systems

Custom agents and copilots wired into the tools your teams already live in — guardrails, audit trails and human handoff designed first, not last.

  • Multi-agent orchestration
  • Tool & API integration
  • Human-in-the-loop controls

Data & Retrieval
Platforms

The unglamorous layer that decides whether AI works: pipelines, retrieval, permissions, and evaluation harnesses your stack can trust.

  • RAG & knowledge systems
  • Vector & graph retrieval
  • Continuous eval pipelines

Enablement
& Adoption

Systems fail when people route around them. We train operators, rewrite playbooks, and stay until the usage curve bends up.

  • Operator academies
  • Playbook redesign
  • Adoption analytics

( 03 ) SELECTED WORK

Proof over promise.

SEAMORA — IN-HOUSE

Studio site & WebGL runtime

THE SITE YOU'RE ON

REFORM LAB — MULTI-DISCIPLINARY CLINIC

Site, booking & AI triage

EN / ZH / YUE — LIVE

MORDEA HOME — AU HOME GOODS

Operator runtime

INTERNAL AI AGENT — IN DAILY OPS

SEAMORA — IN-HOUSE

Diagnostic AI agent

LIVE AT /AGENT

( 04 ) HOW WE SHIP

From signal to system.

STAGE 01

Diagnose

It starts with a conversation — the AI agent on this site, plus working sessions online or in person — to surface where the friction lives and where intelligence pays. You leave with a costed roadmap, not a deck of maybes.

  • Discovery sessions
  • Opportunity sizing
  • Costed roadmap

STAGE 02

Prototype

A working system on your data inside a month — scoped narrow, measured hard, demoed weekly to the people who will actually use it.

  • Working system, your data
  • Weekly demos
  • Hard metrics

STAGE 03

Industrialise

Security review, eval harnesses, failover, observability. The unglamorous engineering that separates demos from infrastructure.

  • Security review
  • Eval harness
  • Observability stack

STAGE 04

Embed

We train your operators, hand over the codebase, and stay on a thin retainer while usage compounds. Then we get out of the way.

  • Operator training
  • Codebase handover
  • Thin retainer

( 05 ) CAPABILITY STACK

Under the hood.

A. Knowledge & retrieval

  • Hybrid vector + graph search
  • Permission-aware RAG
  • Streaming data pipelines
  • Domain fine-tuning

B. Orchestrated agents

  • Frontier & open-weight LLMs
  • Multi-agent planning
  • Tool use & function calling
  • Voice & vision interfaces

C. Evaluation & safety

  • Automated eval suites
  • Red-team protocols
  • Drift & cost observability
  • EU AI Act / ISO 42001 alignment

( 06 ) OUTCOMES

The numbers hold up.

6

systems in production

$5M

measured client value

100%

engagements retained

5

industries served

“Seamora is the only partner that came to build, not to pilot forever. The quote desk paid for itself inside a quarter.”

COO — GLOBAL FREIGHT FORWARDER