#1. Inoxoft https://inoxoft.com
Philadelphia, USA — Founded 2014
Inoxoft is a good fit for enterprises in healthcare, logistics, real estate, and finance that still run critical operations on older, on-prem systems. Instead of pushing a risky “rip and replace” project, they wrap legacy ERPs, databases, and custom apps with AI agents that automate work and expose modern interfaces — without breaking what already works.
Core Strengths
• AI modernization for legacy systems
• Hybrid & on-prem AI (AWS, Azure, GCP + private infra)
• Compliance-first engineering (ISO 27001, HIPAA, HITRUST, FDA)
Best Fit For
• Enterprises on legacy ERPs or custom systems
• IT leaders de-risking modernization
• Ops teams connecting modern tools to siloed platforms
Example Result
AI agent for real estate pricing + lead management cut repetitive sales work by ~60% and increased property viewings by ~45%.
#2. Velvetech
Chicago, USA — Founded 2004
Velvetech specializes in AI for sales and support contact centers, with deep Salesforce and Creatio expertise.
Strengths: Contact-center AI (transcription, sentiment, live coaching), real-time CRM + VoIP integration
Best Fit: Insurance, finance, logistics teams running call centers
Result: Insureon saw +52% conversion and −45% call handling time.
#3. Intellias
Malta / Ukraine — Founded 2002
A large engineering partner embedding AI into safety-critical systems, especially automotive and fintech.
Strengths: Automotive AI (170M+ vehicles), fraud & risk AI, enterprise accelerators
Best Fit: OEMs, Tier-1 suppliers, banks, insurers
Result: IntelliKit platform enabled GenAI voice control for in-car systems.
#4. Netguru
Poznań, Poland — Founded 2008
Acts as an external innovation lab, helping teams rapidly prototype and validate AI ideas.
Strengths: 1–2 week AI prototypes, internal automation, fintech/retail focus
Best Fit: R&D and innovation teams
Result: Claims AI reduced processing time by 83% (30 min → 5 min).
#5. Sigma Software
Sweden / Ukraine — Founded 2002
Strong in AI for massive, real-time data environments.
Strengths: High-volume data AI (26TB/day), AdTech/media expertise
Best Fit: AdTech, telecom, media with data pipeline challenges
Result: AI chatbot PoC in 2 weeks led to full enterprise rollout.
#6. Cheesecake Labs
Brazil / USA — Founded 2013
Design-led AI product studio focused on user experience.
Strengths: UX-first AI, consumer-facing tools, nearshore delivery
Best Fit: Brands building AI apps, assistants, or multimodal interfaces
Result: AI knowledge platform reduced info-search time by up to 80%.
#7. Future Processing
Gliwice, Poland — Founded 2000
A compliance-driven consultancy for risk-averse enterprises.
Strengths: ISO 27001 + ISO 9001, secure AI, predictable delivery
Best Fit: UK/EU finance, legal, manufacturing firms
Result: Legal AI reduced document review from months to ~6 weeks.
00:00 – Intro: Why enterprises struggle with AI adoption
00:41 – Inoxoft
02:33 – Velvetech
04:09 – Intellias
05:42 – Netguru
07:06 – Sigma Software
08:37 – Cheesecake Labs
10:00 – Future Processing
11:32 – Summary: How to choose the right AI partner
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