Product development
New products and features, from first commit to production.
Explore product development
AI engineering teams,deployed into your company.
Forward-deployed engineers who put AI to work inside products, data and operations, and prepare businesses for the next era.
Explore solutionsdplyz.
The AI-powered company you want isn’t six months out.
dplyz brings senior engineers into your business to connect its data, build useful products and put AI workflows into production. We work in your tools, test against your actual cases and agree on the first release around the systems and access involved.
See how we workAI security & controlGive AI access.
Give AI access.
Keep control.
Your data, systems and customer relationships need clear boundaries. We scope what each agent can see and do, test it in an isolated environment and put approval steps around sensitive actions. Security checks, activity logs and ongoing evaluation continue after launch.
See how we test and release
LLM features in your product
Search, summaries, copilots and chat built into the product your customers already use.
Agentic workflows across your tools
Agents that work your CRM, inbox and tickets, and hand off to people when it matters.
AI-ready data
Pipelines, vector search and permissions, so models only see what they should.
Evaluation and guardrails
Tests, monitoring and human review to catch errors and improve AI behavior after launch.
Product, platform and data work around your AI
Keep your existing tools connected through AI integration, or replace the applications that hold work up with an agentic rebuild. One senior team can handle the product, platform and data work around either.
Platform & cloud
Infrastructure, reliability and cost work that keeps production calm.
Explore platform & cloud
Integration & data
Your CRM, payments, phones and data, connected and dependable.
Explore integration & dataWorking with the models and stack you already run
- OpenAI
- Anthropic
- Gemini
- Qwen
- Amazon Bedrock
- TypeSafe AI
- React
- Next.js
- Node.js
- Postgres
- AWS
- Cloudflare
- Google Cloud
- NVIDIA
- Databricks
- Stripe
- Microsoft
- PostHog
Amazon Bedrock
TypeSafe AIIndustries we build AI for
The work is the same everywhere: the systems you already run, the people who use them and the hours an agent can take back.
The people you meet are the people who build
No sales layer and no hand-offs. The people on your first call are the ones who join your standups, open the pull requests and answer for the results.
Explore an embedded teamFrom first call to first release
Start with a useful first release, clear responsibilities and a delivery plan based on your systems.
01
Scope
A working session to pin down the outcome, the constraints and what done looks like.
02
Deploy
We agree on the scope and start date, then join your team’s tools, repositories and delivery process.
03
Ship
Review working increments, test them against real cases and release with a clear operating owner.
Embedded teams, projects or advisory
Ongoing
Embedded team
A dedicated senior squad on your roadmap, sized to the work and joined to your rituals.
Explore embedded teamDefined scope
Project delivery
An engineering project with a clear scope, designed, built and shipped end to end, with a clean handover.
Explore project deliveryAdvisory
Technical leadership
Architecture, code reviews, hiring guidance and roadmaps without a full-time hire.
Explore technical leadership
What's slowing your team down?
Describe the bottleneck in a few lines. The people who would fix it reply with how they'd do it, what it connects to and how fast it can ship.
Describe your bottleneck