Top AI Agent Development Companies

Deviniti

Atlassian-focused consulting with custom AI application development

Founded 2004 | Wrocław, Poland | 201-250 employees | Last updated: August 2026
workflow-integrationenterprise-automationtask-automation

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 was founded in 2004 and is headquartered in Wrocław, Poland. The firm employs 201-250 people and 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

AWSAzurePython
Service area Details
Atlassian-integrated workflow agents Available for SaaS, Manufacturing, Fintech clients
Custom AI application development Available for SaaS, Manufacturing, Fintech clients
Cloud/DevOps automation Available for SaaS, Manufacturing, Fintech clients

Deviniti use cases

Short answer: Deviniti is best suited for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.

Use case Industries Approach
Atlassian-integrated workflow agents SaaS, Manufacturing AWS, Azure
Custom AI application development SaaS, Manufacturing AWS, Azure
Cloud/DevOps automation SaaS, Manufacturing AWS, Azure

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 does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

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 Development companies.

Company Best for Key difference Rating Compare
Tensorway Teams that need a senior, agent-specialist team without... 100% of delivery staff are senior AI engineers — no junior bench, no agent-to-generalist handoff 4.8 Full comparison
Spiral Scout Companies embedding AI agents into existing production systems,... Certified Temporal Solution Provider with a proprietary agent runtime (Wippy.ai) 4.6 Full comparison
Vstorm Mid-market and enterprise buyers wanting a boutique team... Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size 4.5 Full comparison
Stride Consulting Regulated-industry buyers (finance, healthcare, insurance) needing compliance-aware agent... Explicit focus on agentic AI for regulated/compliance-heavy environments 4.4 Full comparison
Tribe AI Enterprises wanting access to a curated network of... Platform-plus-network delivery model sourcing specialists per project rather than a static bench 4.4 Full comparison
Neurons Lab Enterprises that need AI opportunity discovery and strategy... Full-lifecycle model starting at use-case identification, not just implementation 4.3 Full comparison
RTS Labs Enterprises stuck at the AI pilot stage that... Explicit pilot-to-production focus with named architecture/guardrails methodology 4.2 Full comparison
Grid Dynamics Large enterprises needing public-company scale, compliance rigor, and... Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster 4.1 Full comparison
GeekyAnts Product teams wanting AI-agent features embedded into a... 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) 4.1 Full comparison
Kanerika Data-heavy enterprises wanting agents tied directly into existing... Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos 4.0 Full comparison
N-iX Enterprises needing large-scale, multi-year AI agent engineering programs... 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice 4.0 Full comparison
Innowise Buyers wanting large-scale offshore delivery capacity with an... 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop 3.9 Full comparison
Ideas2IT Engineering-heavy buyers interested in AI-augmented software delivery, not... Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products 3.9 Full comparison
Netguru Digital product companies wanting a proven internal-agent case... Publicly documented internal production agent (Omega) as proof of applied agent-building capability 3.9 Full comparison
Markovate Startups and mid-market buyers wanting generative AI features... Leadership with direct enterprise AI experience (AT&T, IBM) applied to a boutique-scale delivery team 3.8 Full comparison
Azilen Technologies FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism 3.8 Full comparison
Quytech Buyers wanting agentic AI paired with computer vision... Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone 3.8 Full comparison
Master of Code Global Brands wanting conversational AI agents with named enterprise... 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) 3.8 Full comparison
Matellio Enterprises wanting AI agents built alongside a larger... US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub 3.7 Full comparison
Signity Solutions Cost-conscious buyers wanting a full AI-first practice, not... Documented evolution from web development to AI-first agentic delivery, with MLOps as a distinct capability 3.7 Full comparison
LeewayHertz Buyers who want the stability of a Hackett... Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition 3.7 Full comparison
Intuz Buyers wanting a documented count of live production... Reports 100+ enterprise agent deployments already in production across three named framework stacks 3.7 Full comparison
Instinctools Enterprises wanting a long-tenured European engineering partner for... 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US 3.6 Full comparison
EffectiveSoft Buyers wanting established Eastern European engineering depth under... 25 years of software delivery history with dedicated Eastern European development centers 3.6 Full comparison
Azumo Buyers wanting nearshore delivery cost savings without giving... Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth) 3.6 Full comparison
Cogniteq EU-based buyers wanting a Baltic-region engineering partner with... 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs 3.6 Full comparison
DevCom Buyers wanting a single US-HQ vendor to own... Full lifecycle ownership (strategy through production support) under one US-headquartered vendor 3.5 Full comparison
Softermii Startups wanting a US-facing account team backed by... Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence 3.5 Full comparison
Codebridge Technology Cost-sensitive buyers wanting a Delaware-incorporated vendor with Ukrainian... US legal incorporation (Delaware) paired with Kyiv-based engineering delivery for contracting simplicity 3.5 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 3.4 Full comparison
Riseup Labs Highly cost-sensitive buyers who need ISO-certified process rigor... ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base 3.4 Full comparison

Deviniti FAQ

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.

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?

Teams already on Atlassian tooling wanting AI agents integrated into 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:

  • Tensorway: 100% of delivery staff are senior ai engineers — no junior bench, no agent-to-generalist handoff
  • Spiral Scout: certified temporal solution provider with a proprietary agent runtime (wippy.ai)
  • Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small team size
See full alternatives list

Compare Deviniti with other AI Agent Development companies

Last reviewed: August 2026. Verify all details directly with Deviniti before making a decision.