XenonStack vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
XenonStack (4.4/5) edges ahead of Addepto (4.3/5) overall. XenonStack is the better choice for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer.. Addepto is the stronger option for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. The right choice depends on your project size, budget, and required tech stack.
XenonStack vs Addepto: head-to-head summary
| Criterion | XenonStack | Addepto |
|---|---|---|
| Founded | 2016 | 2018 |
| HQ | Mohali, India | Warsaw, Poland |
| Team size | 50–100 | 50–100 |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best for | Companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer. | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. |
| Pricing model | Project-based, retainer | Project-based, consulting retainer |
| Min. engagement | Not published | Not published |
| Primary tech stack | Kubernetes, Apache Kafka, AWS | Python, TensorFlow, AWS |
| Industries served | FinTech, Manufacturing, Telecom, Retail & E-commerce | FinTech, Manufacturing, Retail & E-commerce |
XenonStack vs Addepto: overview
XenonStack
XenonStack was founded in 2016 by Navdeep Singh Gill and is based in Mohali, India, operating as a technology consulting company centered on real-time data, generative AI, and agentic AI platform engineering. The company has grown from roughly 63 employees in 2023 to about 97 in 2026 and holds AWS, Azure, and Google Cloud partner status, alongside membership in the Cloud Native Computing Foundation and LF AI & Data. Its bootstrapped, revenue-funded growth (reported ~$3.8M ARR) suggests a stable but still relatively small operation for enterprise-scale programs.
Addepto
Addepto was founded in Warsaw in 2018 by Data Science enthusiasts Edwin Lisowski and Artur Haponik, delivering AI consulting and data-driven solutions recognized by Forbes, Deloitte, and the Financial Times. In December 2025, Addepto was acquired by KMS Technology, and prospective clients should confirm how delivery teams, pricing, and leadership continuity have changed post-acquisition. Reported employee counts vary from roughly 11–50 to 72, reflecting the transition period around the acquisition.
Services and capabilities: XenonStack vs Addepto
| Capability | XenonStack | Addepto |
|---|---|---|
| Custom ML Models | ✗ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: XenonStack vs Addepto
| Framework / platform | XenonStack | Addepto |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: XenonStack vs Addepto
| Criterion | XenonStack | Addepto |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Retainer, Dedicated team | Project-based, Consulting retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: XenonStack vs Addepto
| Dimension | XenonStack | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Telecom | FinTech, Manufacturing, Retail & E-commerce |
| Best use cases | Enterprise needs a real-time data platform feeding downstream ML models., Company is building agentic AI workflows and needs specialist platform engineering, not just model development. | Company wants an AI consultancy with independent press recognition for vendor due diligence., Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. |
| Typical project type | Project-based | Project-based |
XenonStack vs Addepto: pros and cons
| XenonStack | |
|---|---|
| + | Multi-cloud partner status across AWS, Azure, and Google Cloud gives flexibility on platform choice rather than pushing a single vendor stack. |
| + | Bootstrapped and profitable growth trajectory (reported ~$3.8M ARR) signals operational stability without dependence on external funding rounds. |
| + | Cloud Native Computing Foundation and LF AI & Data membership reflects genuine open-source platform engineering involvement, not just marketing claims. |
| + | Specialization in agentic and real-time AI platform engineering is a differentiated niche versus generalist ML shops. |
| - | Team size of roughly 97 (2026) is small relative to the scale of enterprise real-time data platform programs it targets. |
| - | Conflicting HQ reports (Mohali, India vs. Dubai, UAE across sources) make it worth confirming the primary legal entity before contracting. |
| Addepto | |
|---|---|
| + | Press recognition from Forbes, Deloitte, and the Financial Times provides independent third-party validation beyond client testimonials. |
| + | Founder-led AI consulting model since 2018, prior to being acquired. |
| + | Now backed by KMS Technology's broader resources post-acquisition, which may add delivery capacity. |
| - | Acquired by KMS Technology in December 2025 — leadership continuity, pricing, and delivery-team stability during integration are unconfirmed. |
| - | Reported headcount varies significantly across sources (11–50 vs. 72), making current team size hard to pin down. |
| - | Recent acquisition means the company's standalone track record may not reflect how engagements are run going forward. |
Who should choose XenonStack?
XenonStack is the right choice for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer..
Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Telecom, Retail & E-commerce.
Who should choose Addepto?
Addepto is the right choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Retail & E-commerce.
Decision matrix: XenonStack vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | XenonStack |
| Your budget is at the lower end | Compare: XenonStack (Not published) vs Addepto (Not published) |
| You need specialist depth in a specific vertical | XenonStack |
| You need production MLOps support after model launch | XenonStack |
| You need consulting before committing to a build | Addepto |
Use case fit: XenonStack vs Addepto
| Use case | XenonStack fit | Addepto fit | Winner |
|---|---|---|---|
| Enterprise needs a real-time data platform feeding downstream ML models. | Strong | Limited | XenonStack |
| Company is building agentic AI workflows and needs specialist platform engineering, not just model development. | Strong | Strong | Both equally |
| Company wants an AI consultancy with independent press recognition for vendor due diligence. | Strong | Strong | Both equally |
| Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Limited | Strong | Addepto |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: XenonStack vs Addepto
XenonStack (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI.. It is best for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer..
Addepto (4.3/5) is the better choice when companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
XenonStack vs Addepto FAQ
Is XenonStack better than Addepto?
XenonStack (4.4/5) scores higher overall, but "better" depends on your use case. XenonStack is better for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer.. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
How do XenonStack and Addepto differ in pricing?
XenonStack uses project-based, retainer pricing with a minimum engagement of Not published. Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: XenonStack or Addepto?
XenonStack is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between XenonStack and Addepto?
XenonStack's primary differentiator is: multi-cloud certified (aws, azure, gcp) platform-engineering specialist for real-time and agentic ai.. Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. They also differ in team size (50–100 vs 50–100), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs FinTech, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.