Rearc vs Slalom: full comparison for 2026
Quick verdict
Rearc (4.0/5) edges ahead of Slalom (3.7/5) overall. Rearc is the better choice for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm. Slalom is the stronger option for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program. The right choice depends on your project size, budget, and required tech stack.
Rearc vs Slalom: head-to-head summary
| Criterion | Rearc | Slalom |
|---|---|---|
| Founded | 2016 | 2001 |
| HQ | New York, NY, USA | Seattle, WA, USA |
| Team size | 51-100 | 7800-12000 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm | Enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program |
| Pricing model | Dedicated team, T&M | Retainer, dedicated team |
| Min. engagement | $30K | $75K |
| Primary tech stack | AWS, OpenAI, LangChain | AWS, Azure, GCP |
| Industries served | Fintech, SaaS, Healthcare | Fintech, Healthcare, Retail, Manufacturing |
Rearc vs Slalom: overview
Rearc
Rearc was founded in 2016 and is headquartered in New York, with roughly 51-100 employees (74 reported directly) across North America, Asia, and Europe. The firm is an engineering-driven services company specializing in accelerating generative AI, data platform, and cloud platform development for enterprises.
Slalom
Slalom was founded in 2001 by Brad Jackson and John Tobin and is headquartered in Seattle, Washington, with employee counts reported between roughly 7,800 and 12,000 across 45 markets in eight countries. In 2024 the firm launched a major AI upskilling program for its consultants worldwide and opened a new technology hub in Mexico focused on AI and data science hiring.
Services and capabilities: Rearc vs Slalom
| Capability | Rearc | Slalom |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✓ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Rearc vs Slalom
| Framework / platform | Rearc | Slalom |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Rearc vs Slalom
| Criterion | Rearc | Slalom |
|---|---|---|
| Minimum engagement | $30K | $75K |
| Engagement models | Dedicated team, T&M, Fixed project | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Rearc vs Slalom
| Dimension | Rearc | Slalom |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthcare | Fintech, Healthcare, Retail |
| Best use cases | GenAI platform advisory and build, Data platform foundation for agents | Enterprise AI transformation advisory, Large-scale business-technology consulting |
| Typical project type | Dedicated team | Retainer |
Rearc vs Slalom: pros and cons
| Rearc | |
|---|---|
| + | Engineering-first culture avoids the strategy-only-advisory pitfall of pure consulting firms |
| + | Focused practice areas (GenAI, data, cloud) rather than broad generalist consulting |
| + | US HQ simplifies contracting for North American enterprise buyers |
| - | Smaller team (51-100) limits capacity for very large multi-region programs |
| - | Younger firm (2016) has a shorter track record than legacy advisory houses |
| Slalom | |
|---|---|
| + | 23+ years of business-and-technology consulting history across 45 global markets |
| + | Documented internal AI upskilling investment (2024) beyond client-facing marketing |
| + | New Mexico technology hub adds nearshore AI/data science delivery capacity |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | High minimum engagement puts it out of reach for smaller buyers |
Who should choose Rearc?
Rearc is the right choice for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm.
Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. Minimum engagement starts at $30K. Works best with clients in Fintech, SaaS, Healthcare.
Who should choose Slalom?
Slalom is the right choice for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program.
Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. Minimum engagement starts at $75K. Works best with clients in Fintech, Healthcare, Retail, Manufacturing.
Decision matrix: Rearc vs Slalom
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Rearc |
| You need a large dedicated team for an ongoing programme | Rearc |
| Your budget is at the lower end | Rearc |
| You need specialist depth in a specific vertical | Slalom |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Rearc vs Slalom
| Use case | Rearc fit | Slalom fit | Winner |
|---|---|---|---|
| GenAI platform advisory and build | Strong | Limited | Rearc |
| Data platform foundation for agents | Strong | Limited | Rearc |
| Enterprise AI transformation advisory | Limited | Strong | Slalom |
| Large-scale business-technology consulting | Limited | Strong | Slalom |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Rearc vs Slalom
Rearc (4.0/5) is the stronger overall choice for most AI Agent projects. Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. It is best for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm.
Slalom (3.7/5) is the better choice when enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program. If your situation matches those criteria, Slalom is a competitive option.
Related comparisons
Rearc vs Slalom FAQ
Is Rearc better than Slalom?
Rearc (4.0/5) scores higher overall, but "better" depends on your use case. Rearc is better for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm. Slalom is better for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program.
How do Rearc and Slalom differ in pricing?
Rearc uses dedicated team, t&m pricing with a minimum engagement of $30K. Slalom uses retainer, dedicated team pricing with a minimum engagement of $75K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Rearc or Slalom?
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 consultancy before shortlisting.
What are the main differences between Rearc and Slalom?
Rearc's primary differentiator is: engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. Slalom's primary differentiator is: global ai upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. They also differ in team size (51-100 vs 7800-12000), minimum engagement ($30K vs $75K), and primary industries served (Fintech, SaaS vs Fintech, Healthcare).