Intelligence,Engineeredfor You.

Q: How much does an engagement cost?

Pricing is scope-dependent and quoted as a fixed proposal after the discovery audit. We map your workflows, identify the highest-leverage automations, and price the build against that specific scope — no blind estimates, no surprise overages.

Q: How long does a typical project take?

Most engagements ship within four to eight weeks of kickoff. Lighter automations have gone live in under six; multi-system builds with deep integration take longer. We commit to a timeline as part of the fixed proposal.

Q: What tools and providers do you use?

We're not married to any single stack. We select the best-fit toolchain for your environment — your existing systems, your security posture, and your team's ability to maintain it after handoff. The right answer depends on what you already run.

Q: Who owns the code and IP?

You do. All deliverables — code, models, configurations, prompts, and documentation — are yours outright on completion. We retain only the reusable internal methods and frameworks we apply across engagements, never client-specific work product.

Q: How do you handle security and data?

We sign mutual NDAs by default, operate inside your environments wherever possible, and follow your data handling and access policies. Client data is never used to train external models, and we scope access to the minimum required to deliver the work.

Q: Do you offer retainers or only one-off builds?

Both. Most clients start with a defined project, then continue under a retainer for ongoing optimization, new automations, and system care. Retainers are scoped monthly and cancellable.

Korevin Solutions architects AI automation systems that eliminate bottlenecks, accelerate decisions, and scale operations — tailored precisely to your business.

Start Your Build See Our Work ↓

AI AUTOMATION · PROCESS INTELLIGENCE · WORKFLOW ENGINEERING · SYSTEM INTEGRATION · CUSTOM LLM PIPELINES · AI AUTOMATION · PROCESS INTELLIGENCE · WORKFLOW ENGINEERING · SYSTEM INTEGRATION · CUSTOM LLM PIPELINES ·

OUR CAPABILITIES

What We Build

AI Workflow Automation

Replace brittle manual handoffs with resilient, event-driven automations across departments.

Custom LLM Integration

Deploy domain-tuned language systems securely into your products and internal decision loops.

Data Pipeline Architecture

Engineer clean, reliable pipelines that convert fragmented data into operational intelligence.

Intelligent Document Processing

Extract, classify, and route critical information from contracts, invoices, and records at scale.

CRM & Operations AI

Unify customer and ops workflows with automation layers that reduce lag and improve conversion.

Agentic System Design

Design supervised AI agents that execute bounded tasks, report outcomes, and continuously improve.

OUR PROCESS

Four Steps to a Smarter Operation

Discovery & Audit

We map your workflows, systems, and bottlenecks to identify high-leverage automation opportunities.

System Architecture

We design a bespoke automation blueprint with clear orchestration, governance, and data pathways.

Build & Integration

We implement the stack directly into your environment with careful testing and operational fit.

Deploy & Optimize

We launch, monitor, and refine continuously to maximize performance and long-term resilience.

We don't sell software.
We redesign
how you operate.

Average Efficiency Multiplier

< 0 Weeks

Avg. Time to Deployment

Custom-Built, No Templates

Founders. Full Accountability.

Justin Le and Matthew Chun lead each engagement directly, combining deep AI systems engineering with enterprise execution discipline to deliver automation that performs under real operating pressure.

SELECTED WORK

Engagements That Compounded.

Enterprise Operations

$1.1M

Projected Annual Savings

Document Ingestion at Scale

Architected an end-to-end ingestion and processing pipeline that automates extraction, classification, and routing across high-volume document workflows — eliminating a recurring operational cost projected at $1.1M annually.

Workforce Enablement

20%

Faster Issue Resolution

Internal Policy RAG Assistant

Trained a retrieval-augmented assistant on internal policy and operational practice — accelerating employee onboarding and shortening average resolution time by twenty percent.

Gaming / Creator

700K

Organic Views in 6 Weeks

Autonomous Social Distribution

Engineered an automated content and distribution workflow for a gaming brand, generating 700,000 organic views across platforms in six weeks — zero paid spend.

Client names withheld under NDA. Engagement details available on request.

Leadership, Embedded

Justin Le

Co-Founder & AI Systems Lead

Justin architects high-stakes automation systems with rigorous technical standards, translating complex AI capability into dependable operational leverage for ambitious teams.

Matthew Chun

Co-Founder & AI Systems Lead

Matthew drives implementation precision across integrations and deployment strategy, ensuring each solution is custom-fit, measurable, and relentlessly client-centered.

QUESTIONS

Things You're Probably Wondering.

How much does an engagement cost?

Pricing is scope-dependent and quoted as a fixed proposal after the discovery audit. We map your workflows, identify the highest-leverage automations, and price the build against that specific scope — no blind estimates, no surprise overages.

How long does a typical project take?

Most engagements ship within four to eight weeks of kickoff. Lighter automations have gone live in under six; multi-system builds with deep integration take longer. We commit to a timeline as part of the fixed proposal.

What tools and providers do you use?

We're not married to any single stack. We select the best-fit toolchain for your environment — your existing systems, your security posture, and your team's ability to maintain it after handoff. The right answer depends on what you already run.

Who owns the code and IP?

You do. All deliverables — code, models, configurations, prompts, and documentation — are yours outright on completion. We retain only the reusable internal methods and frameworks we apply across engagements, never client-specific work product.

How do you handle security and data?

We sign mutual NDAs by default, operate inside your environments wherever possible, and follow your data handling and access policies. Client data is never used to train external models, and we scope access to the minimum required to deliver the work.

Do you offer retainers or only one-off builds?

Both. Most clients start with a defined project, then continue under a retainer for ongoing optimization, new automations, and system care. Retainers are scoped monthly and cancellable.

FREE · NO CALL REQUIRED

The AI Automation Audit.

A written breakdown of where AI leverage exists inside your operation — what to automate first, why, and what it would take to implement. Built by hand, not generated.

Mapped automation opportunities across 3–5 of your core workflows
Each opportunity ranked by operational impact and implementation effort
Recommended architecture and toolchain for the highest-leverage win
Delivered as a written brief within 3 business days

Book a Discovery Call

Pick a time that works for you. We'll walk through your goals and map the fastest path to implementation.

No commitment. No boilerplate. Just precision.

FROM THE JOURNAL

Selected reading.

View all writing

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