GT Gilligan Tech Inc.
Funding Readiness

Turn an AI prototype into a fundable SaaS company.

Gilligan Tech Inc. packages working AI software into a product, architecture, demo, risk story, and cloud plan that funders can inspect. The ask is not to start; it is to scale live workloads into hosted SaaS pilots.

01 / DEMO

Investor-demo product surface

A real, hosted SaaS workflow that makes the value obvious in the first five minutes.

  • Interactive proof screen
  • Seed data and sample customer story
  • Clear before/after workflow
02 / DILIGENCE

Technical diligence package

The architecture, security, model-routing, and data-boundary story an investor can inspect.

  • System architecture map
  • Model and cost controls
  • Data handling and audit posture
03 / MARKET

Small-business SaaS wedge

A focused initial market where AI creates visible ROI without requiring enterprise sales cycles.

  • Customer pain framing
  • Pilot scope and pricing logic
  • Expansion roadmap
Diligence Flow

What funders need to see

Not just a model call. A defensible product system with repeatable value, manageable cost, and a credible path from pilot to SaaS.

ProblemConcrete pain, narrow buyer, measurable workflow loss.
ProductLive demo, repeatable UX, source-grounded AI output.
SystemRAG, audit logs, access controls, model routing, cost envelope.
ScaleMilestones, pilot proof, roadmap, and cloud-credit plan tied to execution.

Regulation Intelligence as proof

The live Regulation Intelligence product demonstrates the pattern: public search, gated Ask, jurisdictional data, citations, model cost control, and a clear compliance use case.

Claude Memory as infrastructure proof

The memory service demonstrates Gilligan Tech Inc.'s MCP/tooling layer: local-first developer memory, durable Claude Code context, and free MIT source developers can inspect, fork, and build.

Built for lean SaaS economics

Architecture choices favor small-team operations: hosted retrieval, cheap model routes where appropriate, stronger models only when they change the answer, and product surfaces that are easy to demo.

BriefBlip as workflow proof

BriefBlip already turns transcripts and recordings into decisions, owners, action items, Markdown, and iCal task exports. The beta path is ERPNext/customer-system sync for existing accounts and new customer creation.

customERP cloud SaaS

The cloud-credit need is concrete: host the customERP SaaS control plane, run secure customer tenants, queue transcription and extraction jobs, store audit trails, and support customer pilot environments.

Small business wedge

The first users are operators with urgent information work: regulated businesses, agencies, legal workflows, finance/admin teams, and support-heavy SaaS companies.

Founder-aware execution

We can help move from idea to investor demo, then from demo to pilot, while keeping the technical story coherent enough for outside review.

Build the scale-up story around working software.

A scale-up roadmap should be grounded in what the product already proves and what the next tranche of cloud resources unlocks.