Agentic AI that scales your business
We partner with ambitious tech companies to design and build AI agents and workflows that help their teams become AI-native and their products and organizations scale.
Agents that do real work
We build agents into your product and across your company, meeting you where you are in your AI journey. Then we help your teams build with agents too, so they ship at agentic speed.
Agents in your product
Assistants and agents that act for your users, built on your product's data and logic.
Agents for internal teams
Agents that take on repetitive work in support, sales, finance and ops, so people focus on what needs them.
Connected to your stack
Agents get the context they need from your tooling via MCPs and APIs, with the right permissions.
Guardrails and human review
Approvals, limits, and fallbacks built into your processes, so people stay in control of what matters.
Measured in production
We test agents on real cases before launch and track quality and cost after, so you know they pay off.
Teams that ship with agents
We train your teams on the agentic workflows we run ourselves, so they build faster.
Get your teams ready for agentic work

AI-Native Enablement
Paying for AI tools but still working the old way? We bring the playbook from our own AI-native teams.
How we can help
- Bring agentic workflows to product, design, and engineering
- Set up the shared AI skills and tools your teams use daily
- Train every role on use cases from their own work
- Extend the new way of working to operations

R&D Labs
Investing in disruptive ideas without slowing your roadmap? We run an AI-native R&D team to help you innovate.
How we can help
- Prototype and test new ideas and technologies for your product
- Test disruptive ideas while working on the core roadmap
- Bring the new ways of working back to your core teams
- Work with AI-native workflows by default
Pixel AI™, great software at agentic speed
We rebuilt how our teams design, build, and ship around AI and turned it into a framework. Work with us and bring it to your teams.
50%
Faster from idea to launched feature.
- /grill-me
- /plan
- /execute
- /verify
- /spike
- /watch-metrics
- /prototype
- /monitor-errors
- /audit-skills
+40 skills
Written and reviewed by our team.
2–6 weeks
From kick-off to a team on the framework.
Trusted by the teams we build with
Questions about agentic AI
Agentic AI is AI that can plan and take action toward a goal, not just answer a question. An agent reads context, uses tools like your APIs or CRM, and completes multi-step work, with people reviewing the steps that matter. We build agents into products and into the teams that run the business.
An agent is the software that does the work. An agentic workflow is how people and agents share a process: who starts it, what the agent does, and where a person reviews. We design both, because an agent only pays off inside a workflow that fits how your team works.
Pixelmatters builds two kinds of AI agents: agents inside your product and agents for the teams that run your business. Product agents are assistants that act for your users, built on your product's data and logic. Internal agents take on repetitive work in support, sales, finance, and operations, so people can focus on the work that needs them. Both connect to the tools you already use through MCPs and APIs, with only the permissions each agent needs.
A company should start agentic AI with one workflow that costs it time or money today. Pixelmatters maps it, builds a first agent, and tests it on real cases before it goes live. If it pays off, we extend it to other teams. If you're not sure yet where agents fit, AI-Native Strategy helps you find the use cases worth starting with.
Pixelmatters connects agents to the tools your teams already use, like your CRM, ticketing, data warehouse, and internal APIs, with access limited to what each agent needs. You don't need to replace your stack to get started.
Pixelmatters keeps AI agents secure and reliable by setting clear limits on what each agent can do, adding human approval where the risk is high, and building fallbacks for when an agent is unsure. Before launch, we test agents against real cases. After launch, we track quality, cost, and failures, so problems show up early. We follow your security requirements and data policies, and we're working toward SOC 2.
Pixelmatters can train your teams to build with agents. We use Pixel AI™, the framework we built and run on our own teams, to help your product and engineering teams work with agents every day. It can be part of an agent build or its own engagement, through AI-Native Enablement or a Forward Deployed Team.