AI is transforming the software development life cycle (SDLC) into a product delivery life cycle (PDLC). We aim to accelerate AI and Gen AI adoption while developing eco-friendly, energy-efficient products and services. We believe the AI stack isn’t just about optimizing processes, but fundamentally reinventing delivery practices, roles and tools.

Transform delivery practices

We redefine the role of the traditional software developer into an "AI Product Engineer", who not only leverages AI tools, but also masters the art of "prompt context." Our approach emphasizes smaller, truly lean teams that enable faster delivery through innovative practices like Mob AI programming.

Change the way we code

We’ve revolutionized our coding approach by focusing on context and prompt rather than just manual practices. Our goal is to harness the full potential of AI tools for complete code generation, not just code completion.

Leverage an AI-friendly stack

We utilize a proven AI-friendly stack that integrates AI across the entire delivery and product life cycle (PDLC). This approach allows us to seamlessly design, code, and test for back-end, APIs, and front-end, rather than applying AI in a fragmented manner across just a few steps.

Transform delivery practices

We redefine the role of the traditional software developer into an "AI Product Engineer", who not only leverages AI tools, but also masters the art of "prompt context." Our approach emphasizes smaller, truly lean teams that enable faster delivery through innovative practices like Mob AI programming.

Change the way we code

We’ve revolutionized our coding approach by focusing on context and prompt rather than just manual practices. Our goal is to harness the full potential of AI tools for complete code generation, not just code completion.

Leverage an AI-friendly stack

We utilize a proven AI-friendly stack that integrates AI across the entire delivery and product life cycle (PDLC). This approach allows us to seamlessly design, code, and test for back-end, APIs, and front-end, rather than applying AI in a fragmented manner across just a few steps.

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Key Benefits & Target Indicators 

40% reduction in

development time

Our AI-driven software engineering practices accelerate development cycles, cutting time-to-market through automation and optimized workflows.

33% improvement

in code quality

By implementing AI and Gen AI tools for code analysis and optimization, we build more reliable and maintainable software.

30% boost in

productivity

With enhanced collaboration and AI-powered tools, we enable faster delivery of high-quality AI solutions.

30% reduction of

carbon footprint

Our software engineering approach, including Green IT practices, reduces energy consumption and carbon emissions.

40% reduction in

development time

Our AI-driven software engineering practices accelerate development cycles, cutting time-to-market through automation and optimized workflows.

33% improvement

in code quality

By implementing AI and Gen AI tools for code analysis and optimization, we build more reliable and maintainable software.

30% boost in

productivity

With enhanced collaboration and AI-powered tools, we enable faster delivery of high-quality AI solutions.

30% reduction of

carbon footprint

Our software engineering approach, including Green IT practices, reduces energy consumption and carbon emissions.

Banking & Finance | PALO IT Client Story

AI-driven accounting platform

Eleven white logo

AI-driven accounting platform

Challenge:

Eleven, a FinTech scale-up, aimed to revolutionize the accounting industry by developing a cloud-based platform that significantly reduces the time accountants spend on manual data processing by using AI.

Solution:

PALO IT partnered with Eleven to design and develop an innovative accounting platform and build Eleven’s AI-driven software engineering practices and team.

99% accurate

Document digitization.

400 hours

Encoding time saved per year, per accountant.

10 second

Invoice and bill processing time.

Insurance | PALO IT Client Story

Generative AI for insurance contracts

In Clear Terms logo

Generative AI for insurance contracts

Challenge:

The insurance industry is burdened by overly complex contracts that are difficult for policyholders to understand. Managing and updating these contracts is time-consuming, with potential for human error during document comparison.

Solution:

In Clear Terms partnered with PALO IT to create DAIA, a SaaS solution leveraging generative AI to simplify insurance contracts. DAIA analyzes document quality, suggests improvements, and automates document comparison and standard contract creation.

90 seconds

Reduced document processing time down from one week.

Grand Prix

In clear terms & AXA win the Contractualization and Grand Prix at the Cas d’OR de l’Expérience Client Assurance 2024.

Automation

Freeing up operational teams to focus on more valuable tasks.

Partnering with the best in tech

Freedom of Mobility Forum
Bain & Company
OpenAI
Claude
Microsoft
AWS
Visual Studio
Google-Cloud
MongoDB
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Unlock your business's potential with our AI-powered, green software engineering solutions—let's innovate together.

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