Deviniti
Atlassian-focused consulting with custom AI application development
What is Deviniti?
Deviniti was founded on December 13, 2004 in Wrocław, Poland by Piotr Jan Dorosz and Jacek Michał Machata, and now has 250+ employees. The company combines Atlassian-focused consulting and marketplace apps with custom software development, cloud/DevOps, and AI application services.
Deviniti works primarily with clients in SaaS, Manufacturing, Fintech sectors. Its primary differentiator is: Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience.
Deviniti tech stack and services
| Service area |
|---|
| Workflow Integration |
| Enterprise Automation |
| Task Automation |
Deviniti pricing
Short answer: Deviniti uses a fixed project, dedicated team pricing approach. Minimum engagement starts at $15K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $15K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Deviniti pros and cons
| Advantages | Things to consider |
|---|---|
| +20+ years of operating history with a clear founding date and leadership | -Atlassian-ecosystem specialization is a narrower fit for buyers outside that toolchain |
| +Deep Atlassian ecosystem expertise supports agent integration into existing workflow tools | -AI application work is a newer addition relative to its two-decade core consulting history |
| +Combines marketplace product development with custom consulting delivery |
Deviniti vs alternatives
How Deviniti compares to the other top AI Agent developers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Turing | Engineering teams, elite reasoning-agent talent. | Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench | 4.6 | Full comparison |
| Spiral Scout | CTOs evaluating vendors with their own production runtime. | Built and maintains its own agent orchestration runtime (Wippy.ai), plus certified Temporal Solution Provider status | 4.5 | Full comparison |
| Tensorway | Senior-only agent specialists, no generalist overhead. | Every line of orchestration code is written by a senior engineer working full-time on agent systems — no junior bench, no generalist hand-off — across a modern LangChain/LangGraph/AutoGen stack. | 4.3 | Full comparison |
| Vstorm | Mid-market and enterprise buyers, boutique team with named... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size | 4.2 | Full comparison |
| Grid Dynamics | Large enterprises, public-company scale and compliance rigor. | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 4.1 | Full comparison |
| SoftServe | Enterprises wanting decades of engineering process rigor. | 30+ years of engineering discipline applied to a documented spec-driven approach for agentic workflows | 4.1 | Full comparison |
| N-iX | Enterprises needing large-scale, multi-year agent programs. | 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice | 4.0 | Full comparison |
| Waverley Software | FinTech, Healthcare, Robotics buyers — long-tenured domain partner. | 30+ years of engineering history explicitly repositioned as AI-first, with deep vertical domain experience (Robotics, Energy, FinTech) | 4.0 | Full comparison |
| Andersen | Enterprises wanting one vendor, multi-vertical scale. | 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop | 3.9 | Full comparison |
| Ascendion | Global 2000 buyers, AI-native firm built for the... | Built from inception (2022) around AI-powered engineering rather than retrofitting AI onto a legacy delivery model | 3.9 | Full comparison |
| GeekyAnts | Product teams, AI-agent features within custom software builds. | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.9 | Full comparison |
| Innowise | Buyers wanting large-scale offshore delivery, dedicated AI agent... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.8 | Full comparison |
| Ideas2IT | Engineering-heavy buyers, AI-augmented software delivery. | Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products | 3.8 | Full comparison |
| Trantor | Enterprises wanting a dedicated captive engineering center. | CaptiveCoE™ model gives clients a dedicated center of excellence rather than a shared delivery pool | 3.8 | Full comparison |
| Netguru | Digital product companies, proven internal-agent case study. | Publicly documented internal production agent (Omega) as proof of applied agent-building capability | 3.7 | Full comparison |
| Kanerika | Data-heavy enterprises, agents tied into analytics/BI pipelines. | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos | 3.7 | Full comparison |
| Quytech | Buyers wanting agentic AI plus computer vision/AR, one... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.7 | Full comparison |
| Matellio | Enterprises wanting AI agents within a modernization project. | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.7 | Full comparison |
| Sombra | Buyers wanting a mid-size, decade-plus dedicated-team partner. | Founder-led (Viktor Chekh) firm with over a decade of full-cycle engineering ahead of its AI/ML expansion | 3.7 | Full comparison |
| Intuz | Buyers wanting documented, live production agent deployments. | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, manufacturing buyers — vertical AI agent... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Instinctools | Enterprises wanting a long-tenured European dedicated-team partner. | 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US | 3.6 | Full comparison |
| Miquido | Product teams wanting an analyst-recognized AI partner. | Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed | 3.6 | Full comparison |
| EffectiveSoft | Buyers wanting Eastern European depth, US corporate umbrella. | 25 years of software delivery history with dedicated Eastern European development centers | 3.5 | Full comparison |
| Azumo | Buyers wanting nearshore savings, US-based account management. | Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth) | 3.5 | Full comparison |
| DevSquad | Early-stage product teams, agent dev plus strategy guidance. | Combines product-market-fit strategy work with AI agent development, useful for teams still validating their product | 3.5 | Full comparison |
| Cogniteq | EU buyers wanting a Baltic-region, two-decade partner. | 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs | 3.5 | Full comparison |
| DevCom | Buyers wanting one US-HQ vendor, strategy through support. | Full lifecycle ownership (strategy through production support) under one US-headquartered vendor | 3.4 | Full comparison |
| Softermii | Startups wanting US-facing account team, Eastern-Europe R&D. | Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence | 3.4 | Full comparison |
| Codebridge Technology | Cost-sensitive buyers, Delaware entity, Ukrainian delivery. | US legal incorporation (Delaware) paired with Kyiv-based engineering delivery for contracting simplicity | 3.4 | Full comparison |
| Uvik Software | Startups needing one or two senior Python/AI engineers. | Narrow staff-augmentation model of individual senior Python/AI/ML specialists at low minimum spend | 3.3 | Full comparison |
| Riseup Labs | Cost-sensitive buyers, ISO-certified rigor at South Asian rates. | ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base | 3.3 | Full comparison |
Deviniti FAQ
What is Deviniti?
Atlassian-focused consulting with custom AI application development
How much does Deviniti charge?
Deviniti uses fixed project, dedicated team pricing. Minimum engagement starts at $15K. A discovery call is required to get project-specific quotes.
What tech stack does Deviniti use?
Deviniti works with AWS, Azure, Python. Primary industries served include SaaS, Manufacturing, Fintech.
Is Deviniti right for enterprise?
Atlassian-tooling teams wanting agents in that ecosystem. 201-250 team size. Key consideration: Atlassian-ecosystem specialization is a narrower fit for buyers outside that toolchain.
What are the best Deviniti alternatives?
The best alternatives to Deviniti depend on your use case. Top options are:
- Turing: deep agi-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench
- Spiral Scout: built and maintains its own agent orchestration runtime (wippy.ai), plus certified temporal solution provider status
- Tensorway: every line of orchestration code is written by a senior engineer working full-time on agent systems — no junior bench, no generalist hand-off — across a modern langchain/langgraph/autogen stack.