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Azati Software

PL Website 201-500 employees

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$25 - $49/hr
4.9

15 reviews

External Reviews

Technologies

JavaJavaScriptPythonDockerRubyAngularFigmaSelenideKotlinReactGitLabAWSAzureGCPCI/CDKubernetes

Services

Custom Software EngineeringGenerative AI & Advanced ML EngineeringLLM Development ServicesManaged AI and Process Re-engineeringData Science & Data Warehouse SolutionsDevOps and System AdministrationQuality AssuranceUX/UI DesignLegacy System ModernizationAI Workflow Automation for FinanceCloud SolutionsDigital TransformationBusiness Process AutomationCybersecurity

Notable Clients

HOPNBRVenstar ExchangeMusicDNAAptagenGeoLytics

Azati is a Polish offshore software development and AI engineering firm founded in 2002. The company operates as a dedicated team and staff augmentation provider, with 20+ years of remote work experience. Azati claims to deploy architect-led engineering squads within days and promises to compress months of development into weeks through a methodology that combines rigorous architecture, automated quality gates, and AI-augmented development. The firm works across custom software engineering, generative AI, machine learning, LLM development, data science, DevOps, QA, and UX/UI design. Named clients include HOPNBR, Venstar Exchange, MusicDNA, Aptagen, and GeoLytics, though the source provides few technical details about those engagements.

Services and capabilities

Azati's core offerings span custom software development, AI/ML engineering, and infrastructure services. On the AI side, the firm builds custom LLM solutions, handles fine-tuning and natural language processing, and offers what it calls "vibe-coding engineering"—applying oversight and guardrails to AI-generated code. The company also positions itself as a managed AI operations vendor, claiming to operate, monitor, and optimize AI systems in production with 24/7 monitoring, drift detection, and continuous retraining. It advertises 30–70% cost reduction through token optimization and model routing.

For non-AI work, Azati delivers legacy system modernization, enterprise platforms, data warehouse solutions, CI/CD pipeline automation, and cloud infrastructure management across AWS, Azure, and GCP. QA services include automated and manual testing, performance testing, and end-to-end testing. The firm also offers UX/UI design with user research, wireframing, and visual design components.

According to its own claims, Azati can assemble a team and start development within one business day. The source mentions a new software development lifecycle (SDLC) methodology that supposedly compresses delivery to 6–8 weeks for a preview release. One case study highlights an AI-driven patent and sequence intelligence platform that processed 50M+ documents, achieved 72% reduction in manual work via AI, and reached 91% search accuracy.

Notable work

The source names several completed projects. An AI-powered patent and sequence intelligence platform for a client in life sciences automated search, annotation, and structuring of large datasets, processing over 50 million documents and reducing manual work by 72%. A DNA sequence processing optimization project delivered an 80-fold performance improvement. Azati also built an AI calorie calculator and food recognition system, an integrated AI platform for sports data management, and an automated pallet counting solution using computer vision. In enterprise banking, the firm delivered a banking platform (client name not specified). Other projects include an image modeling application for real estate using AI and computer vision, an e-health web portal migration from PHP 4 to modern technologies, and a search engine algorithm improvement for a recruiting platform.

How they work

Azati offers two primary engagement models: dedicated team (full-cycle ownership from architecture through deployment) and staff augmentation (embedding engineers into client workflows without long-term commitments). The firm claims it can onboard and begin development within one business day. Communication is handled through daily standups, sprint reviews, and comprehensive reporting; the company signs service level agreements that define security responsibilities, encryption standards, and access controls. On pricing, Azati claims cost savings of up to 40% compared to maintaining an in-house team and a 30–50% lower total cost of ownership (TCO). For managed AI services specifically, the engagement follows a five-phase model: as-is assessment (1–2 weeks), to-be model design (1–2 weeks), proof of concept (2–4 weeks), scale, and then ongoing managed operations with monthly recurring revenue.

Team and credentials

The source does not name founders or provide team size. It states that Azati has been operating since 2002 and emphasizes 20+ years of remote work experience. The firm mentions having launched 400+ production systems and working across 15+ industries, though it does not disclose certifications like ISO 27001, SOC 2, or GDPR compliance explicitly in the source material (though the managed AI operations section references ISO 27001 and SOC 2 as governance targets). No Clutch rating, G2 score, or third-party verification is mentioned. The source lists a tech stack that includes Java, JavaScript, Python, Docker, Ruby, Angular, Figma, Selenide, Kotlin, React, and GitLab, but does not specify expertise levels or team composition by technology.

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Case Studies

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Client Reviews

Reviews from verified clients

4.9

15 third-party reviews

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Frequently Asked Questions

What services does Azati specialize in?
Azati offers custom software engineering, generative AI and machine learning, LLM development, data science, DevOps, QA testing, and UX/UI design. The firm also provides managed AI operations—monitoring, optimizing, and retraining AI systems in production to sustain ROI over time.
How quickly can Azati assemble a team and start work?
Azati claims it can assemble a team and begin development within one business day. The firm follows a streamlined onboarding process with clear service level agreements to avoid delays while maintaining quality standards.
What engagement models does Azati offer?
Azati provides two primary models: dedicated team (full-cycle ownership from architecture through deployment) and staff augmentation (embedding battle-tested engineers into your workflow without long-term commitments). The firm also offers consulting to recommend the optimal approach.
What cost savings can I expect from outsourcing to Azati?
Azati claims up to 40% cost reduction compared to maintaining an in-house team and a 30–50% lower total cost of ownership. For managed AI services, the firm advertises 30–70% cost reduction through token optimization and model routing.
Which industries has Azati worked in?
Azati has delivered projects across 15+ industries including life sciences, healthcare, banking and financial services, real estate, retail, telecommunications, eCommerce, transportation, and professional services. The firm emphasizes domain-specific regulatory compliance.
How long does Azati say it takes to deliver a working product?
Azati claims its new SDLC compresses development to 6–8 weeks for a preview release. For managed AI engagements, the full lifecycle—from as-is assessment through proof of concept—typically spans 6–10 weeks before scale and ongoing operations begin.

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