Rearc
Engineering-driven AI, data, and cloud services firm
Founded 2016 | New York, NY, USA | 51-100 employees
llm-integrationdata-analytics-agentsworkflow-integration
What is 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.
Rearc works primarily with clients in Fintech, SaaS, Healthcare sectors. Its primary differentiator is: Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off.
Rearc tech stack and services
AWSOpenAILangChainKubernetes
| Service area |
|---|
| LLM Integration |
| Data & Analytics Agents |
| Workflow Integration |
Rearc pricing
Short answer: Rearc uses a dedicated team, t&m pricing approach. Minimum engagement starts at $30K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From $30K | Well-defined scope |
Rearc does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Rearc pros and cons
| Advantages | Things to consider |
|---|---|
| +Engineering-first culture avoids the strategy-only-advisory pitfall of pure consulting firms | -Smaller team (51-100) limits capacity for very large multi-region programs |
| +Focused practice areas (GenAI, data, cloud) rather than broad generalist consulting | -Younger firm (2016) has a shorter track record than legacy advisory houses |
| +US HQ simplifies contracting for North American enterprise buyers |
Rearc vs alternatives
How Rearc compares to the other top AI Agent consultancies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams needing senior agent advisory, no big-consultancy overhead. | 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff | 4.8 | Full comparison |
| Vstorm | Mid-market and enterprise buyers, boutique advisory with named... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small advisory team | 4.5 | Full comparison |
| West Monroe | Enterprises wanting a proven consultancy with a public... | Publicly launched its own agent product (WestMonroe.ai) as proof of applied capability, not just advisory slides | 4.4 | Full comparison |
| Neurons Lab | Enterprises needing AI opportunity discovery before building. | Full-lifecycle advisory model starting at use-case identification, not just implementation | 4.3 | Full comparison |
| Stride Consulting | Regulated industries — compliance-aware agent advisory. | Explicit advisory focus on agentic AI for regulated/compliance-heavy environments | 4.2 | Full comparison |
| Tribe AI | Enterprises wanting a curated network of AI advisors. | Platform-plus-network advisory model sourcing specialists per engagement rather than a static bench | 4.2 | Full comparison |
| RTS Labs | Enterprises stuck at pilot stage, needing production ROI. | Explicit pilot-to-production advisory focus with named architecture/guardrails methodology | 4.1 | Full comparison |
| Thoughtworks | Large enterprises, multi-cloud agent governance advisory. | Named agent governance product (Agent/works) purpose-built to run and oversee enterprise AI agents | 4.0 | Full comparison |
| Hakkoda | Buyers wanting IBM-backed stability for AI advisory. | IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio | 3.9 | Full comparison |
| Xebia | Enterprises wanting AI advisory plus internal training. | Combines AI-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery | 3.9 | Full comparison |
| Blue Orange Digital | Data-heavy buyers, AI advisory boutique with consulting backing. | Backed by Oliver Wyman, a top-tier management consultancy, giving strategic advisory credibility beyond a typical AI boutique | 3.8 | Full comparison |
| Kanerika | Data-heavy enterprises, advisory tied into existing BI pipelines. | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic advisory decks | 3.8 | Full comparison |
| Grid Dynamics | Large enterprises needing public-company scale and global delivery. | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 3.8 | Full comparison |
| Data Reply | Buyers wanting specialized data-AI advisory, publicly-traded backing. | Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division | 3.7 | Full comparison |
| Slalom | Enterprises wanting a large, diverse consultancy with AI... | Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing | 3.7 | Full comparison |
| Intuz | Buyers wanting proven, documented production agent deployments. | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting genuine AI-first advisory. | Documented evolution from web development to AI-first agentic advisory, with MLOps as a distinct capability | 3.6 | Full comparison |
| LeewayHertz | Buyers wanting Hackett Group-backed AI advisory stability. | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.6 | Full comparison |
| Netguru | Digital product companies, proven internal-agent case study. | Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, manufacturing buyers — vertical-specific agent advisory. | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Matellio | Enterprises wanting AI advisory within software modernization. | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.5 | Full comparison |
| Quytech | Buyers wanting agentic AI plus computer vision/AR, one... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.5 | Full comparison |
| Master of Code Global | Brands wanting conversational AI advisory, named consumer-brand references. | 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) | 3.5 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent advisory within custom builds. | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.5 | Full comparison |
| Innowise | Buyers wanting large-scale offshore delivery with an AI... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.4 | Full comparison |
| Publicis Sapient | Global enterprises needing a top-tier brand with proprietary... | Three named proprietary AI platforms (Sapient Bodhi, Slingshot, Sustain) built specifically for agentic transformation | 3.4 | Full comparison |
| Persistent Systems | Enterprises wanting a publicly-traded, audited partner at scale. | Publicly traded (BSE/NSE) with 24,000+ employees and 35 years of digital engineering history | 3.4 | Full comparison |
| EPAM Systems | Global enterprises wanting the largest public engineering-consultancy bench. | Gartner-recognized GenAI consulting leader with 64,000+ employees, the largest single firm in this roster | 3.3 | Full comparison |
| Endava | Enterprises wanting a publicly-traded UK consultancy for AI... | Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers | 3.3 | Full comparison |
| Zensar Technologies | Enterprises wanting a governance-focused AI platform, conglomerate-backed. | Named proprietary agentic platform (ZenseAI.AgentMesh) with an explicit governance focus | 3.3 | Full comparison |
| Version 1 | Enterprises wanting an Ireland/UK-anchored consultancy for AI transformation. | Dublin headquarters gives it a distinct Irish/UK/US multinational footprint among this roster's large consultancies | 3.2 | Full comparison |
Rearc FAQ
What is Rearc?
Engineering-driven AI, data, and cloud services firm
How much does Rearc charge?
Rearc uses dedicated team, t&m pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does Rearc use?
Rearc works with AWS, OpenAI, LangChain, Kubernetes. Primary industries served include Fintech, SaaS, Healthcare.
Is Rearc right for enterprise?
Enterprises wanting engineering-first advisory, not slide decks. 51-100 team size. Key consideration: Smaller team (51-100) limits capacity for very large multi-region programs.
What are the best Rearc alternatives?
The best alternatives to Rearc depend on your use case. Top options are:
- Tensorway: 100% of advisory and delivery staff are senior ai engineers — no junior bench, no strategy-to-build handoff
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small advisory team
- West Monroe: publicly launched its own agent product (westmonroe.ai) as proof of applied capability, not just advisory slides
Compare Rearc with other AI Agent consultancies
Rearc vs Tensorway Rearc vs Vstorm Rearc vs West Monroe Rearc vs Neurons Lab Rearc vs Stride Consulting Rearc vs Tribe AI Rearc vs RTS Labs Rearc vs Thoughtworks Rearc vs Hakkoda Rearc vs Xebia Rearc vs Blue Orange Digital Rearc vs Kanerika Rearc vs Grid Dynamics Rearc vs Data Reply Rearc vs Slalom Rearc vs Intuz Rearc vs Signity Solutions Rearc vs LeewayHertz Rearc vs Netguru Rearc vs Azilen Technologies Rearc vs Matellio Rearc vs Quytech Rearc vs Master of Code Global Rearc vs GeekyAnts Rearc vs Innowise Rearc vs Publicis Sapient Rearc vs Persistent Systems Rearc vs EPAM Systems Rearc vs Endava Rearc vs Zensar Technologies Rearc vs Version 1