The engineering partner for the AI era

Stop prototyping.
Start shipping.

Ideas are cheap. Production is everything.

We take half-built AI projects and turn them into production systems. We make your entire company agentic.
We modernize your marketing stack.

50+
AI projects shipped
3x
Faster to production
40+
Engineers & strategists
98%
Client retention

Trusted by teams backed by and working with

OpenAI
AWS
Anthropic
Vercel
Snowflake
HubSpot
Stripe
Datadog

What We Do

What we build.

01

AI Productionization

From prototype to production-grade.

You built the demo. We ship the product. We take your half-built AI projects — messy notebooks, fragile pipelines, one-off scripts — and turn them into reliable, scalable production systems that your team and customers can depend on.

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Model optimization & deployment (GPU, serverless, edge)

Reliability engineering — monitoring, fallbacks, guardrails

API design & integration into your existing stack

CI/CD for ML — versioning, testing, rollback

02

MarTech Engineering

Your marketing stack, supercharged with AI.

We build and integrate the marketing technology infrastructure that actually moves the needle. From customer data platforms to AI-powered personalization engines, attribution systems, and automated campaign orchestration.

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CDP & data pipeline architecture

AI-powered personalization & recommendation engines

Marketing automation & campaign orchestration

Attribution modeling & analytics infrastructure

03

Agentic Transformation

Make your company run on agents.

We help companies design and deploy AI agent systems that automate complex workflows end-to-end. Not chatbots — real autonomous agents that reason, plan, use tools, and get work done across your organization.

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Custom agent design — tool use, memory, planning

Multi-agent orchestration & workflow automation

Human-in-the-loop guardrails & governance

Integration with your existing systems & data

04

Product Engineering

Custom software, built right — without the drama.

Not every problem needs AI. Sometimes you just need a SaaS product built, an internal tool that works, a platform modernized, or a complex system architected — on time, on budget, and maintainable for the long haul.

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SaaS platforms, internal tools & custom applications

Web, mobile, API — full-stack delivery

Code quality, testing & CI/CD you can trust

Legacy modernization & architecture clean-up

Why DistarkLabs

You've tried the alternatives.

AI consultancy gave you a 50-page strategy deck

We give you deployed, running code in production

Your dev team built a demo but can't get it to scale

We've shipped 50+ AI systems — we know the pitfalls

Your marketing stack is 14 tools duct-taped together

We build unified, AI-native marketing infrastructure

"AI agents" from vendors are just fancy chatbots

Our agents use tools, maintain state, and execute workflows

Contractors build it and leave, nothing works after

We build for handoff — your team owns and maintains it

How We Work

From chaos to production

A proven process for turning AI experiments into reliable systems. Fast, transparent, and built for handoff.

Week 1
01

Audit & Assess

We dig into what you've built — your code, your models, your infrastructure, your data. We identify what's working, what's broken, and what's missing. You get a clear-eyed assessment with a concrete plan.

Week 2
02

Architect & Design

We design the target architecture — production infrastructure, API contracts, monitoring, testing strategy, and deployment pipeline. No guesswork. Every decision is documented and agreed on.

Weeks 3–8
03

Build & Harden

Our engineers rebuild the critical path. We refactor, optimize models, build proper pipelines, add guardrails, write tests, and integrate with your stack. Real engineering, not prototype-quality code.

Ongoing
04

Ship & Support

We deploy to production, monitor performance, and iterate. We train your team, hand over runbooks, and provide ongoing support. You own everything — we just make sure it works.

Case Studies

Real projects. Real outcomes.

Every engagement starts with a hard problem and ends with a system running in production. Here's a sample.

AI Productionization

Shipping a GPT-powered underwriting engine for a Series B insurtech

Their data science team had a working prototype in notebooks. We rebuilt it as a fault-tolerant microservice processing 10K+ applications/day with sub-200ms latency, full audit logging, and model versioning.

10x
Throughput increase
99.9%
Uptime SLA achieved
8 weeks
Prototype to production
MarTech Engineering

Building an AI personalization engine for a D2C e-commerce brand

We designed and deployed a real-time recommendation system integrated with their CDP, increasing conversion rates and average order value. Built custom attribution modeling to replace their patchwork of analytics tools.

34%
Conversion lift
2.1x
Email revenue increase
Unified
Customer data platform
Agentic Transformation

Deploying autonomous agents across operations for a logistics company

We built a multi-agent system handling shipment routing, customer inquiries, exception management, and carrier negotiations. Agents use real tools, maintain context across conversations, and escalate to humans when needed.

70%
Tickets auto-resolved
4.2hrs
Avg time saved per agent/day
3 months
Full deployment
AI Productionization

Turning a computer vision prototype into a real-time QA system

A manufacturing company had a promising defect-detection model but no way to run it in production. We optimized the model, built edge deployment, and integrated with their MES. Now running 24/7 across 3 factory lines.

96.7%
Detection accuracy
< 50ms
Inference latency
$2.3M
Annual savings
Agentic Transformation

Building an AI research analyst agent for a VC firm

We designed an agent that autonomously researches companies, pulls financials, analyzes competitive landscapes, and generates investment memos. Partners review agent output instead of starting from scratch.

85%
Research time reduction
200+
Companies analyzed/month
12 tools
Agent integrations
MarTech Engineering

Migrating a Fortune 500 company off legacy marketing infrastructure

Replaced a fragile patchwork of 14 marketing tools with a unified, event-driven architecture. AI-powered segmentation, automated multi-channel campaigns, and real-time analytics — all in one system.

14→3
Tool consolidation
60%
Cost reduction
Real-time
Customer 360 view

Technologies

We work with your stack.

Model-agnostic, cloud-agnostic, framework-agnostic. We use whatever is best for the job — and we're deep in all of it.

AI / ML

OpenAI / GPT
Anthropic / Claude
LangChain
LlamaIndex
Hugging Face
PyTorch
vLLM
Ollama
CrewAI
AutoGen

Infrastructure

AWS
GCP
Vercel
Docker
Kubernetes
Terraform
Modal
Replicate
Supabase
Redis

Languages & Frameworks

Python
TypeScript
Next.js
React
Node.js
FastAPI
Django
Go
Rust
PostgreSQL

MarTech

Segment
Snowflake
dbt
Braze
HubSpot
Salesforce
Mixpanel
Amplitude
BigQuery
Kafka

What Clients Say

Trusted by engineering leaders.

We had six months of AI experiments sitting in notebooks. DistarkLabs turned our best prototype into a production system in eight weeks. It's been running at scale for a year without a single outage.

VP of Engineering

Series B Insurtech

They didn't just build us an agent — they rethought how our entire operations team works. Our support agents now handle 3x the volume with AI handling the routine work autonomously.

COO

Logistics Company

Our marketing stack was held together with duct tape and prayers. DistarkLabs rebuilt our entire data pipeline and added AI personalization. Conversion rates went up 34% in the first quarter.

CMO

D2C E-commerce Brand

What sets DistarkLabs apart is they actually understand both the AI and the engineering. Most AI consultancies can build a demo but can't ship production software. These folks do both.

CTO

Enterprise SaaS

About DistarkLabs

We bridge the gap between AI ambition and production reality.

Most companies have AI prototypes. Very few have AI in production. The gap between a working demo and a reliable, scalable system is enormous — and it's where most projects die.

DistarkLabs exists to close that gap. We're a team of senior engineers, ML practitioners, and infrastructure experts who specialize in taking AI from “it works on my laptop” to “it's running in production serving real users.”

We also believe the next wave of competitive advantage comes from agentic AI — systems that don't just answer questions but autonomously execute complex workflows. We help companies design and deploy these systems responsibly.

Engineering-first

We're engineers, not slide-deck consultants. Every engagement produces working, production-grade software — not a PDF of recommendations.

Pragmatic AI

We use AI where it makes sense and traditional engineering where it doesn't. No hype, no unnecessary complexity. Just the right tool for the job.

Built for handoff

Everything we build is designed to be owned and maintained by your team. Clean code, full documentation, and knowledge transfer are standard.

Outcomes over hours

We don't sell seats or hours. We sell outcomes — shipped products, working systems, and measurable results. We succeed when you succeed.

Ready to ship?

Let's turn your AI
into a product.

Whether you have a prototype that needs to go to production, a marketing stack that needs AI, or an organization ready to go agentic — we should talk.

Free consultation

30 min to discuss your project scope and goals

Fast start

Most engagements kick off within 1–2 weeks

Response in 24hrs

We read every inquiry and respond quickly