How does OneSpark prevent AI agents from drifting or introducing regressions?

OneSpark locks all agents to a shared project structure, strict architectural guidelines, and living specifications. Every generated application includes an automated test suite running a continuous test, correct, and retest loop to catch errors before they cascade. If an underlying model provider fails, work automatically routes to alternative models while maintaining the exact same validation requirements.

Why did KASO choose OneSpark over Claude Code?

KASO adopted OneSpark because it provided a single environment to plan, generate, and verify software changes rather than relying on fragmented coding assistants. Product managers previously lost substantial time chasing what changed across iterations. OneSpark replaced their AI coding tool budget by eliminating manual PM rework and verification overhead.

What is OneSpark's technical defensibility against better-funded competitors?

OneSpark's defensibility comes from a proprietary, model-agnostic agentic system developed through more than a year of sequential testing across real client builds. Because each development cycle teaches the system lessons required for subsequent cycles, the learning curve cannot be compressed simply by adding capital or engineers. The platform remains AI-agnostic so it can swap underlying models without losing custom coordination logic.

How does OneSpark address enterprise security and compliance requirements?

OneSpark ships generated applications with a built-in compliance layer that addresses standards like SOC 2, HIPAA, GDPR, and ISO 27001. The platform's living specification provides auditors with an automated written log of every engineering choice made across development. This audit trail solves the verification challenges that typically hinder enterprise adoption of AI-generated code.

What does OneSpark's current pilot adoption look like?

More than 10 alpha teams, including YC-backed KASO, are currently utilizing free pilot access ahead of the closed beta release. All participating pilot teams have agreed to transition onto the closed beta without drop-off. The business has also validated its generation workflow by shipping more than 50 projects with zero regressions.

Where is OneSpark headquartered?

OneSpark is based in Daytona Beach, Florida, United States.

Who founded OneSpark?

OneSpark was founded by Jarrett Dargusch, Anton Dzhanaev.

How many people work at OneSpark?

OneSpark has 2-10 employees on record.

All companies

Our viewWritten October 2026Researched by Vela

OneSpark

OneSpark builds an AI workspace that turns plain-language specifications into verified full-stack applications for software engineering teams and consultancies.

Developer Tools / AI Software Engineering
Tech teams · Consultancies
AI developer workspace
onespark.dev ↗

Founded: 2025; Public record
Based in: Daytona Beach, Florida, United States; Public record
Stage: Pre-seed; Public record
Team: 2-10; Public record
Products: OneSpark Platform; Public record
Customers: Tech teams, consultancies; Company site

Why we think it matters

Our view in three lines, before the detail.

The need
Fragmented AI coding tools cause drift across multi-step software development.
AI code generation often degrades when changes lack architectural constraints. Teams lose time managing disjointed planning, design, and quality assurance workflows.
The answer
A unified planning layer aligns agents with living specifications and tests.
OneSpark coordinates model-agnostic agents across planning, interface design, and full-stack code generation. An integrated test-correct-retest loop catches regressions before updates cascade into production.
The people
Deep focus on agent coordination and verified software generation.
The team approaches automated software engineering as a coordinated verification problem. Their architecture keeps autonomous agents aligned to strict rules throughout project lifecycles.

Enterprise architecture and commercial execution

How they came together, and what each brings that the company needs.

How they got here

Before OneSpark
Anton led enterprise full-stack teams at HYS Enterprise and served on Epicflow's architecture board, while Jarrett ran business development and founded Givunity and consulting practices.
2025
Jarrett and Anton paired to build OneSpark, funding and refining the agentic workspace through live custom software delivery before expanding into alpha pilots.

Jarrett ↔ Anton

Translating client delivery friction into automated platform capabilities

Jarrett leads go-to-market execution, pilot rollouts, and customer discovery across agencies and developer teams.

Anton builds the technical system and agent orchestration architecture to automate platform capabilities.

JD
Jarrett Dargusch
Founder · LinkedIn ↗
- Leads commercial strategy, fundraising, and go-to-market execution across founder networks.
- Drives customer discovery and enterprise pilot rollouts across agencies and developer teams.
Brisa InternationalFour-Three International ConsultingGivunityOneSpark
AD
Anton Dzhanaev
Co-Founder & CTO · LinkedIn ↗
- Twenty years of experience leading engineering teams and enterprise software systems.
- Background on Epicflow's architecture board guiding migration to distributed microservices.
- Architects the entire technical system, model routing, and agent orchestration engine.
Sigmax Mobile SolutionsHYS EnterpriseEpicflow Resource Management SoftwareOneSpark

What they build

A unified workspace that coordinates AI agents to plan, build, and verify full-stack applications.

OneSpark Platform
From natural language specifications to verified full-stack applications
The platform provides a unified workspace where teams describe product requirements in plain language. Model-agnostic agents coordinate planning, screen designs, documentation, and code generation across the frontend, backend, and database. Every project incorporates automated testing and verification to maintain codebase consistency across multi-step changes.

Specification
Structuring plain-language requirements
Natural language inputs convert into living specifications and architectural rules that guide agent execution.
Generation
Building coordinated interface and full-stack logic
Model-agnostic agents generate screen designs, backend services, and database schemas aligned to the shared project plan.
Verification
Executing automated test and correction loops
The platform runs regression test suites and corrects detected issues before code is finalized.
Integration
Connecting external workflows and services
Generated projects link directly with services like GitHub and Stripe for deployment and ongoing iteration.

How they win customers

OneSpark lands with product leaders displacing point AI tools, then expands upmarket through agency delivery.

Land
Product leaders adopt the workspace
Teams adopt OneSpark directly through product managers and engineering leads seeking a unified environment for planning and delivery.
Displace
Replacing standalone AI coding subscriptions
Organizations redirect point-tool budgets to OneSpark to eliminate time spent checking and reconciling fragmented outputs.
Bridge
Consultancies deploy for client projects
Software agencies build client software on OneSpark, acting as an adoption channel directly into enterprise environments.
Scale
Expanding through enterprise reviews
Seat-by-seat account growth is supported by automated audit documentation and enterprise-grade compliance layers.

Momentum

Where the company is today, and the track record behind it.

Paid pilot
A Y Combinator-backed technology company
Deploys software builds on the planning layer with full retention into closed beta.
Paid pilot
Software development teams
Completed over fifty project builds with zero regressions.

Revenue over time

The chart fills in as they report

Monthly revenue, renewals and expansion will draw here once the founders share them.

Funding

Pre-Seed (Raising)$1.0MOct 2026

Where OneSpark stands apart

A unified platform combining compounding agent refinements with systematic regression prevention.

Sequential learning cyclesvs single-prompt assistants
Continuous client builds over more than a year provide compounding operational refinements that funding alone cannot compress.
Automated regression preventionvs standalone code generators (Claude Code)
A central planning layer maintains architectural rules and runs automated test, correct, and retest loops to catch issues before changes compound.
Model-agnostic architecturevs single-model dependencies
The internal agentic system dynamically routes tasks across different AI providers while keeping structural validation uniform.

Investor fit

How each fund's thesis reads the company. Vela's view is our own; any other fund's is a comparison with what that fund has backed.

Vela Partners’ view

Would we invest?

Not a fit

Our view leans toward standalone enterprise software traction and senior operating leadership; OneSpark is building an AI workspace that encodes delivery workflow insights into full-stack generation.

OneSpark fits core focus areas in AI developer tooling through its planning layer, model-agnostic agents, living specifications, and automated test-and-correct loops.
The platform directly translates coordination and verification learnings from client software delivery into its product architecture.
Our pattern favours pure-play software revenue models with referenceable enterprise accounts and established paid expansion.
Our pattern also looks for founders with prior venture exits, senior operating tenures, or formal technical research leadership.

Principles met3 of 7

Where this comes from

Researched by Vela. The company chose to be listed and what appears here.

Company site · products, positioning
LinkedIn · founders and company
Crunchbase · 1 round on record
SimilarWeb · not tracked yet
Founder interview · traction and economics

Questions

OneSpark provides a unified workspace and planning layer that converts plain-language software ideas into living specifications, designed screens, and production code using model-agnostic AI agents. It coordinates frontend, backend, and database architectures within a single environment. The system automates code validation and testing loops to ensure that multi-step development proceeds without architectural drift.

Questions

Why we think it matters

Enterprise architecture and commercial execution

Jarrett Dargusch

Anton Dzhanaev

What they build

How they win customers

Momentum

Where OneSpark stands apart

Investor fit

Where this comes from

Questions

What does OneSpark do?−

How does OneSpark prevent AI agents from drifting or introducing regressions?+

Why did KASO choose OneSpark over Claude Code?+

What is OneSpark's technical defensibility against better-funded competitors?+

How does OneSpark address enterprise security and compliance requirements?+

What does OneSpark's current pilot adoption look like?+

Where is OneSpark headquartered?+

When was OneSpark founded?+

Who founded OneSpark?+

How many people work at OneSpark?+

Why we think it matters

Enterprise architecture and commercial execution

Jarrett Dargusch

Anton Dzhanaev

What they build

How they win customers

Momentum

Where OneSpark stands apart

Investor fit

Where this comes from

Questions

What does OneSpark do?−

How does OneSpark prevent AI agents from drifting or introducing regressions?+

Why did KASO choose OneSpark over Claude Code?+

What is OneSpark's technical defensibility against better-funded competitors?+

How does OneSpark address enterprise security and compliance requirements?+

What does OneSpark's current pilot adoption look like?+

Where is OneSpark headquartered?+

When was OneSpark founded?+

Who founded OneSpark?+

How many people work at OneSpark?+