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Bringing Your
Innovation To Life

since 2010

Software engineers and QA professionals ready to accelerate the development of your core technology.

75525 releases to date.

Trusted
by Exceptional Companies

ForgeRock

12 years

ongoing

Bill

8 years

ongoing

Edgio

3 years

ongoing

GoodData

4 years

ongoing

and 29 more...
2x Faster

Delivering new versions
on time and on budget

We deliver YOUR projects 2X faster with the power of AI-equipped team sharing knowledge across the company.

AI Powered

Solving your hard tech
problems

Our AI powered Full stack software development, QA & test automation and DevOps teams have been doing the hard stuff for YOU since 2010.

USA Inc.

Intellectual property
protection

profiq is a US incorporated company with a highly skilled EU-based engineering team.

Our Approach

Continuous
Integration

33%

Reduced time to
market

Automated
Deployment

97%

Deploy error rate
reduced

Automated
Testing

45%

Cost reduction
 

Why Work with Us

profiq boasts 60 AI powered software engineers with diverse expertise. Hire one, tap into
the collective knowledge of all. We at profiq believe in teamwork and mutual support.

60+ in-house engineers
20+ clients
4 years on a project in average
20+ releases daily

Starting With Us Is Easy

Get Your Free Trial Period

Witness the compatibility of our team firsthand
with a free 40-hour trial, and pay nothing until you're sure.

“What's the catch with the 40-hour trial?“

“No catch! It motivates us to align the right
talent with your needs, as our objective is
lasting partnerships, not temporary free
engagements.“

Jiří Manda, CEO

Jiri Manda

CEO

[email protected]

We Are Based In Silicon Valley & Czech Republic

Silicon Valley Czech Republic

Our Blog

JSON

Let’s make LLMs generate JSON!

In this article, we are going to talk about three tools that can, at least in theory, force any local LLM to produce structured output: LM Format Enforcer, Outlines, and Guidance. After a short description of each tool, we will evaluate their performance on a few test cases ranging from book recommendations to extracting information from HTML. And the best for the end, we will show you how forcing LLMs to produce a structured output can be used to solve a very common problem in many businesses: extracting structured records from free-form text.

Notiondipity: What I learned about browser extension development

Me and many of my colleagues at profiq use Notion for note-taking and work organization. Our workspaces contain a lot of knowledge about our work, plans, or the articles or books we read. At some point, a thought came to my mind: couldn’t we use all this knowledge to come up with project ideas suited to our skills and interests?

From ChatGPT to Smart Agents: The Next Frontier in App Integration

It has been over a year since OpenAI introduced ChatGPT and brought the power of AI and large language models (LLMs) to the average consumer. But we could argue that introducing APIs for seamlessly integrating large language models into apps developed by companies and independent hackers all over the world can be the true game changer in the long term. Developers are having heated discussions about how we can utilize this technology to develop truly useful apps that provide real value instead of just copying what OpenAI does. We want to contribute to this discussion by showing you how we think about developing autonomous agents at profiq. But first a bit of background.