Fractal vs Addepto: full comparison for 2026
Quick verdict
Fractal (4.5/5) edges ahead of Addepto (3.8/5) overall. Fractal is the better choice for consumer and financial firms wanting AI depth from one partner. Addepto is the stronger option for manufacturers wanting a small first AI engagement. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Fractal vs Addepto: head-to-head summary
| Criterion | Fractal | Addepto |
|---|---|---|
| Founded | 2000 | 2017 |
| HQ | Mumbai, India / New York, USA | Warsaw, Poland |
| Team size | 5,000+ | 50–249 |
| Rating | 4.5 / 5 | 3.8 / 5 |
| Primary differentiator | Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on | Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries |
| Pricing model | Project and managed-program fees; rates not published | $50–$99/hr (Clutch band); project-based |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | Cogentiq, Azure, AWS | Databricks, Azure, AWS |
| Industries served | Consumer goods, Retail, Financial services, Insurance, Healthcare, Technology | Manufacturing, Aviation, Logistics, Retail, Financial services |
Fractal vs Addepto: overview
Fractal
Founded in Mumbai in 2000, Fractal calls itself a pure-play enterprise AI company and runs its US business from New York. It has more than 5,000 employees across 18 locations and listed on India's stock exchanges in February 2026, with TPG and Apax among the selling shareholders. Consulting work starts with use-case discovery and value cases, then moves into data science, engineering, and its own products such as the Cogentiq agent platform. Forrester named it a Leader in its Customer Analytics Services Wave for Q2 2025, according to Fractal's announcement. That history is what you pay for. Few firms have run AI programs for consumer and financial clients this long, although the advice tends to lead into Fractal's own platforms.
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta digital engineering company backed by Sunstone Partners. Its chief executive says 97% of the team are AI engineers (per company website; independently unverifiable). It sells AI consulting and roadmaps for data-heavy industries such as manufacturing and aviation, followed by builds. Clutch lists $50–$99 an hour and a $10,000+ minimum project, so a small first engagement is possible.
Services and capabilities: Fractal vs Addepto
| Capability | Fractal | Addepto |
|---|---|---|
| Readiness assessment | ✗ | ✓ |
| Use-case prioritization | ✓ | ✗ |
| TCO / ROI modeling | ✓ | ✗ |
| AI governance & EU AI Act | ✗ | ✗ |
| Build vs. buy advice | ✗ | ✗ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✗ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: Fractal vs Addepto
| Framework / platform | Fractal | Addepto |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | ✓ | ✓ |
| Snowflake | ✓ | N/A |
Pricing comparison: Fractal vs Addepto
| Criterion | Fractal | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Readiness assessment, Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Fractal vs Addepto
| Dimension | Fractal | Addepto |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Consumer goods, Retail, Financial services | Manufacturing, Aviation, Logistics |
| Best use cases | Prioritizing AI use cases across marketing, supply chain, and pricing at a consumer goods company., Building customer analytics and personalization models after a strategy phase. | A small readiness check and roadmap for a manufacturer., Predictive maintenance and quality models in industrial settings. |
| Typical project type | Strategy & roadmap engagement | Readiness assessment |
Fractal vs Addepto: pros and cons
| Fractal | |
|---|---|
| + | Has done AI and analytics work since 2000, longer than most firms on this list have existed |
| + | Strategy hands straight to data science and engineering teams inside the same company |
| + | Named a Leader in Forrester's customer analytics services evaluation (Q2 2025) |
| + | Public since February 2026, so its financials and ownership are disclosed |
| + | Long record with consumer goods and retail clients on demand, pricing, and marketing models |
| - | Strategy work tends to lead into its own platforms and delivery teams, which narrows your vendor choice later |
| - | Governance and EU AI Act advice is less visible than its analytics and engineering work |
| - | Listed in 2026 after years of private equity ownership (TPG, Apax), so check continuity of the team you will get |
| Addepto | |
|---|---|
| + | A $10,000+ Clutch minimum allows a small first step |
| + | Team is almost entirely engineers, so roadmaps stay technically grounded |
| + | Experience with manufacturing and aviation data |
| + | Databricks experience for data platform work |
| - | Acquired by KMS Technology in December 2025, and integration may change teams and priorities |
| - | Strategy work is mostly a front end to engineering |
| - | Little governance or change-management work |
Who should choose Fractal?
A typical fit: prioritizing AI use cases across marketing, supply chain, and pricing at a consumer goods company.
Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Financial services, Insurance, Healthcare, Technology.
Who should choose Addepto?
A typical fit: a small readiness check and roadmap for a manufacturer.
Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Decision matrix: Fractal vs Addepto
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Fractal |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | Neither lists governance work; add a specialist |
| AI will change roles and processes for many staff | Neither; plan change management separately |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: Fractal (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| You need a large team across many countries | Fractal |
Use case fit: Fractal vs Addepto
| Use case | Fractal fit | Addepto fit | Winner |
|---|---|---|---|
| Prioritizing AI use cases across marketing, supply chain, and pricing at a consumer goods company. | Strong | Limited | Fractal |
| Building customer analytics and personalization models after a strategy phase. | Strong | Limited | Fractal |
| A small readiness check and roadmap for a manufacturer. | Limited | Strong | Addepto |
| Predictive maintenance and quality models in industrial settings. | Limited | Strong | Addepto |
Verdict: Fractal vs Addepto
Fractal (4.5/5) is the stronger overall choice for most AI Strategy Consulting projects. Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on.
Addepto (3.8/5) is worth a look if you need predictive maintenance and quality models in industrial settings. If your situation matches that, Addepto is a competitive option.
Related comparisons
Fractal vs Addepto FAQ
Is Fractal better than Addepto?
Fractal (4.5/5) scores higher overall, but "better" depends on your use case. Fractal's strongest advantage: has done AI and analytics work since 2000, longer than most firms on this list have existed. Addepto's strongest advantage: a $10,000+ Clutch minimum allows a small first step.
How do Fractal and Addepto differ in pricing?
Fractal's pricing: project and managed-program fees; rates not published. Addepto's pricing: $50–$99/hr (Clutch band); project-based with a minimum engagement of $10,000+ (Clutch). Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Fractal or Addepto?
Fractal is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between Fractal and Addepto?
Fractal's primary differentiator is: twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on. Addepto's primary differentiator is: low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. They also differ in team size (5,000+ vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Consumer goods, Retail vs Manufacturing, Aviation).
Verify all details directly with each consultant before making a decision.