Slalom vs Tiger Analytics: full comparison for 2026
Quick verdict
Slalom (4.1/5) edges ahead of Tiger Analytics (4.1/5) overall. Slalom is the better choice for north American firms wanting local, on-site AI consultants. Tiger Analytics is the stronger option for enterprises wanting strategy plus lower-cost offshore delivery. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Slalom vs Tiger Analytics: head-to-head summary
| Criterion | Slalom | Tiger Analytics |
|---|---|---|
| Founded | 2001 | 2011 |
| HQ | Seattle, USA | Santa Clara, USA |
| Team size | 10,000+ | 4,000+ |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Primary differentiator | Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them | AI roadmap work that feeds directly into large India-based data science teams |
| Pricing model | Time & materials and fixed-fee projects; rates not published | Project and dedicated-team pricing; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, Google Cloud | Azure, AWS, Google Cloud |
| Industries served | Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology | Consumer goods, Retail, Insurance, Banking, Manufacturing, Healthcare |
Slalom vs Tiger Analytics: overview
Slalom
Slalom was founded in Seattle in 2001 and has more than 10,000 employees in over 50 offices across the Americas, Europe, and Asia. In August 2026 it hired a former Accenture executive as its chief AI officer. Its AI strategy practice covers operating models, governance, and data strategy, delivered by local teams who work on-site with clients. Partnerships with Microsoft, AWS, Google Cloud, Snowflake, and Salesforce mean a Slalom roadmap usually lands on one of those platforms.
Tiger Analytics
Tiger Analytics was founded in 2011, is based in Santa Clara, California, and says it has 4,000+ technologists and consultants, most of them delivering from India (per company website; independently unverifiable). It is privately held. Strategy work usually takes the form of an AI or analytics roadmap that leads into data science and engineering projects run by its own teams. The appeal is cost after the plan is agreed: offshore delivery keeps the build affordable.
Services and capabilities: Slalom vs Tiger Analytics
| Capability | Slalom | Tiger Analytics |
|---|---|---|
| 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: Slalom vs Tiger Analytics
| Framework / platform | Slalom | Tiger Analytics |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| Snowflake | ✓ | ✓ |
Pricing comparison: Slalom vs Tiger Analytics
| Criterion | Slalom | Tiger Analytics |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Slalom vs Tiger Analytics
| Dimension | Slalom | Tiger Analytics |
|---|---|---|
| Best company size | Enterprise | Mid-market to enterprise |
| Best industries | Financial services, Healthcare, Retail | Consumer goods, Retail, Insurance |
| Best use cases | AI and data strategy for a North American mid-size or large company., Governance and operating-model design for a first wave of AI projects. | Analytics and AI roadmaps for consumer goods and retail companies., Demand forecasting and pricing models after a planning phase. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Slalom vs Tiger Analytics: pros and cons
| Slalom | |
|---|---|
| + | Consultants live in the client's city, which makes workshops and on-site discovery easy |
| + | Covers operating model and governance as well as technology |
| + | Strong standing with Microsoft, AWS, Google Cloud, and Snowflake |
| + | Can staff the build after the strategy without changing firms |
| - | Roadmaps tend to land on its partner platforms |
| - | New AI leadership (August 2026) means the practice direction is still settling |
| - | Less depth on EU regulation than European consultancies |
| Tiger Analytics | |
|---|---|
| + | Delivery costs after the strategy are lower than at US or European firms |
| + | Large data science bench for forecasting, pricing, and marketing models |
| + | Privately held and focused on AI and analytics alone |
| + | Cost modeling is part of how it sizes use cases |
| - | Strategy work is mainly a front end to its delivery business |
| - | Change management and organizational design are not core practices |
| - | Time-zone gaps between India-based teams and US or European clients |
Who should choose Slalom?
A typical fit: AI and data strategy for a North American mid-size or large company.
Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology.
Who should choose Tiger Analytics?
A typical fit: analytics and AI roadmaps for consumer goods and retail companies.
AI roadmap work that feeds directly into large India-based data science teams. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Insurance, Banking, Manufacturing, Healthcare.
Decision matrix: Slalom vs Tiger Analytics
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Tiger Analytics |
| 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 | Slalom |
| AI will change roles and processes for many staff | Slalom |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: Slalom (Not disclosed) vs Tiger Analytics (Not disclosed) |
| You need a large team across many countries | Slalom |
Use case fit: Slalom vs Tiger Analytics
| Use case | Slalom fit | Tiger Analytics fit | Winner |
|---|---|---|---|
| AI and data strategy for a North American mid-size or large company. | Strong | Limited | Slalom |
| Governance and operating-model design for a first wave of AI projects. | Strong | Limited | Slalom |
| Analytics and AI roadmaps for consumer goods and retail companies. | Limited | Strong | Tiger Analytics |
| Demand forecasting and pricing models after a planning phase. | Limited | Strong | Tiger Analytics |
Verdict: Slalom vs Tiger Analytics
Slalom (4.1/5) is the stronger overall choice for most AI Strategy Consulting projects. Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them.
Tiger Analytics (4.1/5) is worth a look if you need demand forecasting and pricing models after a planning phase. If your situation matches that, Tiger Analytics is a competitive option.
Related comparisons
Slalom vs Tiger Analytics FAQ
Is Slalom better than Tiger Analytics?
Slalom (4.1/5) scores higher overall, but "better" depends on your use case. Slalom's strongest advantage: consultants live in the client's city, which makes workshops and on-site discovery easy. Tiger Analytics's strongest advantage: delivery costs after the strategy are lower than at US or European firms.
How do Slalom and Tiger Analytics differ in pricing?
Slalom's pricing: time & materials and fixed-fee projects; rates not published. Tiger Analytics's pricing: project and dedicated-team pricing; rates not published. 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: Slalom or Tiger Analytics?
Slalom 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 Slalom and Tiger Analytics?
Slalom's primary differentiator is: local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Tiger Analytics's primary differentiator is: AI roadmap work that feeds directly into large India-based data science teams. They also differ in team size (10,000+ vs 4,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Consumer goods, Retail).
Verify all details directly with each consultant before making a decision.