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For early-stage founders

Your AI-Native
Technical Co-Builder

DSHG Sonic partners with founders to validate, design, build, launch, and scale AI-native products through flexible cash + equity studio models.

Apply for Studio Co-Build →See How the Model Works

CASH + EQUITY CO-BUILD

Reduced cash feeAligned equity

You bring

Domain expertise, market access, vision

We bring

Product, AI architecture, full-stack build

The Founder Reality

Building an AI startup without the right technical partner is expensive, slow, and risky.

✕You have the domain expertise but not the full technical team.
✕Hiring a CTO is hard — and expensive.
✕Agencies do not think like co-founders.
✕MVPs often get built without enough market or product strategy.
✕AI-native products need more than basic app development.
What We Bring

A full studio behind your idea

Product Strategy

Sharp positioning, scope, and a roadmap tied to real market pull.

AI-Native Architecture

Systems designed around LLMs, agents, and data from day one.

Full-Stack Engineering

Production-grade build across frontend, backend, and infra.

MVP Development

A launch-ready first version, fast, without cutting the wrong corners.

Go-to-Market Support

Help getting the first users, feedback loops, and traction.

Long-Term Partnership

We stay through iteration, scale, and the next growth layer.

THE STUDIO MODEL

Cash + equity when incentives need to align

For selected founders, we reduce the upfront cash burden by taking equity alongside development fees. This works best when the founder brings strong domain knowledge, market access, sales ability, or industry credibility.

Best fit
Founder has real domain expertise
The problem is specific and urgent
Market has clear revenue potential
Founder can sell or access buyers
AI creates a real product advantage
Not a fit
The idea is still too vague
No clear customer segment
Founder expects free development
No willingness to validate
No commitment to long-term execution
The Path

From idea to AI-native MVP

1
Founder Fit Review
2
Discovery + Validation
3
Product Scope
4
MVP Build
5
Launch
6
Iterate + Scale
PROOF, NOT PROMISES

Products and companies
we've helped build

View full portfolio →
JT Admin
LaunchedOUR LEGACY

JT Admin

Problem

AI-powered JSON mapping automation platform leveraging CodeLlama-13B and Milvus vector database. Transforms unmapped JSON data by learning from historical mappings, achieving 85-95% accuracy through intelligent field analysis and continual model fine-tuning.

What We Built

JT Admin is an enterprise-grade JSON data transformation system that combines LLM intelligence with vector database retrieval for automated mapping. The platform stores historical ...

Visit Project →
Fludder
PlanningOUR LEGACY

Fludder

Problem

Companies hire people... not resumes

What We Built

Fludder is a sophisticated Al-powered employment marketplace designed to tackle the complexities of hiring entry-level talent in a fast-paced, competitive environment. With its adv...

View Project →
Jabbie
PlanningOUR LEGACY

Jabbie

Problem

Differently Abled wellness and training

What We Built

Jabbie is a groundbreaking community wellness app designed to redefine traditional fitness standards and offer inclusive support for users to move their bodies in ways that resonat...

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Bringing domain expertise and a problem worth solving?

Apply to co-build your AI-native startup with a studio that thinks like a co-founder.

Apply for Studio Co-Build →