Hakkoda
Modern data and AI consultancy, now part of IBM
Founded 2021 | New York, NY, USA | 201-400 employees
data-analytics-agentsrag-knowledge-agentsenterprise-automation
What is Hakkoda?
Hakkoda was founded in 2021 and is headquartered in New York City, with 371 employees. The firm is a modern data consultancy helping companies harness cloud platforms and AI capabilities, and was acquired by IBM in April 2025 — now operating as Hakkōda, an IBM Company, which buyers should factor into long-term roadmap and pricing expectations.
Hakkoda was founded in 2021 and is headquartered in New York, NY, USA. The firm employs 201-400 people and works primarily with clients in Fintech, Healthcare, Retail sectors. Its primary differentiator is: IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio.
Hakkoda tech stack and services
AWSAzureGCPOpenAI
| Service area | Details |
|---|---|
| Data-platform advisory for AI agents | Available for Fintech, Healthcare, Retail clients |
| Cloud-and-AI capability advisory | Available for Fintech, Healthcare, Retail clients |
| IBM-ecosystem agent integration | Available for Fintech, Healthcare, Retail clients |
Hakkoda use cases
Short answer: Hakkoda is best suited for buyers wanting IBM-backed stability for data-and-AI advisory work.
| Use case | Industries | Approach |
|---|---|---|
| Data-platform advisory for AI agents | Fintech, Healthcare | AWS, Azure |
| Cloud-and-AI capability advisory | Fintech, Healthcare | AWS, Azure |
| IBM-ecosystem agent integration | Fintech, Healthcare | AWS, Azure |
Hakkoda pricing
Short answer: Hakkoda uses a retainer, fixed project pricing approach. Minimum engagement starts at $35K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Fixed project | From $35K | Well-defined scope |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Hakkoda does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Hakkoda pros and cons
| Advantages | Things to consider |
|---|---|
| +IBM backing (since April 2025) adds financial stability and enterprise credibility | -2025 acquisition by IBM changes ownership structure and may shift pricing/positioning over time |
| +Data-platform-first advisory approach suits agents that need reliable data foundations | -Post-acquisition integration into IBM's broader practice could affect team continuity |
| +Internal AI agent (per Hakkoda Labs) demonstrates applied capability beyond advisory |
Hakkoda vs alternatives
How Hakkoda compares to the other top AI Agent consultancies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams that need senior, agent-specialist advisory without big-consultancy... | 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 wanting boutique advisory with... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small advisory team | 4.5 | Full comparison |
| West Monroe | Enterprises wanting a proven business-and-technology consultancy with a... | Publicly launched its own agent product (WestMonroe.ai) as proof of applied capability, not just advisory slides | 4.4 | Full comparison |
| Neurons Lab | Enterprises that need AI opportunity discovery and advisory... | Full-lifecycle advisory model starting at use-case identification, not just implementation | 4.3 | Full comparison |
| Stride Consulting | Regulated-industry buyers (finance, healthcare, insurance) needing compliance-aware agent... | Explicit advisory focus on agentic AI for regulated/compliance-heavy environments | 4.2 | Full comparison |
| Tribe AI | Enterprises wanting access to a curated network of... | Platform-plus-network advisory model sourcing specialists per engagement rather than a static bench | 4.2 | Full comparison |
| RTS Labs | Enterprises stuck at the AI pilot stage that... | Explicit pilot-to-production advisory focus with named architecture/guardrails methodology | 4.1 | Full comparison |
| Thoughtworks | Large enterprises needing agent governance advisory across multi-cloud... | Named agent governance product (Agent/works) purpose-built to run and oversee enterprise AI agents | 4.0 | Full comparison |
| Rearc | Enterprises wanting an engineering-first advisory partner over a... | Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off | 4.0 | Full comparison |
| Xebia | Enterprises wanting AI advisory paired with a dedicated... | 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 wanting an AI advisory boutique with... | 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 wanting advisory tied directly into existing... | 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, compliance rigor, and... | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 3.8 | Full comparison |
| Data Reply | Buyers wanting a specialized data-AI advisory division backed... | 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, geographically diverse consultancy with... | Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing | 3.7 | Full comparison |
| Intuz | Buyers wanting a documented count of live production... | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting full AI-first advisory, not just... | Documented evolution from web development to AI-first agentic advisory, with MLOps as a distinct capability | 3.6 | Full comparison |
| LeewayHertz | Buyers who want the stability of a Hackett... | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.6 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Matellio | Enterprises wanting AI agent advisory alongside a larger... | 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 advisory paired with computer... | 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 agent advisory with named... | 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 embedded into a... | 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 advisory-plus-delivery capacity with an... | 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 advisory brand with... | 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 advisory partner... | 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 publicly traded engineering-consultancy... | 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-headquartered technology consultancy... | Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers | 3.3 | Full comparison |
| Zensar Technologies | Enterprises wanting a large, governance-focused agentic AI platform... | Named proprietary agentic platform (ZenseAI.AgentMesh) with an explicit governance focus | 3.3 | Full comparison |
| Version 1 | Enterprises wanting an Ireland/UK-anchored management consultancy for AI... | Dublin headquarters gives it a distinct Irish/UK/US multinational footprint among this roster's large consultancies | 3.2 | Full comparison |
Hakkoda FAQ
What is Hakkoda?
Hakkoda was founded in 2021 and is headquartered in New York City, with 371 employees. The firm is a modern data consultancy helping companies harness cloud platforms and AI capabilities, and was acquired by IBM in April 2025 — now operating as Hakkōda, an IBM Company, which buyers should factor into long-term roadmap and pricing expectations.
How much does Hakkoda charge?
Hakkoda uses retainer, fixed project pricing. Minimum engagement starts at $35K. A discovery call is required to get project-specific quotes.
What tech stack does Hakkoda use?
Hakkoda works with AWS, Azure, GCP, OpenAI. Primary industries served include Fintech, Healthcare, Retail.
Is Hakkoda right for enterprise?
Buyers wanting IBM-backed stability for data-and-AI advisory work. 201-400 team size. Key consideration: 2025 acquisition by IBM changes ownership structure and may shift pricing/positioning over time.
What are the best Hakkoda alternatives?
The best alternatives to Hakkoda 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 Hakkoda with other AI Agent consultancies
Hakkoda vs Tensorway Hakkoda vs Vstorm Hakkoda vs West Monroe Hakkoda vs Neurons Lab Hakkoda vs Stride Consulting Hakkoda vs Tribe AI Hakkoda vs RTS Labs Hakkoda vs Thoughtworks Hakkoda vs Rearc Hakkoda vs Xebia Hakkoda vs Blue Orange Digital Hakkoda vs Kanerika Hakkoda vs Grid Dynamics Hakkoda vs Data Reply Hakkoda vs Slalom Hakkoda vs Intuz Hakkoda vs Signity Solutions Hakkoda vs LeewayHertz Hakkoda vs Netguru Hakkoda vs Azilen Technologies Hakkoda vs Matellio Hakkoda vs Quytech Hakkoda vs Master of Code Global Hakkoda vs GeekyAnts Hakkoda vs Innowise Hakkoda vs Publicis Sapient Hakkoda vs Persistent Systems Hakkoda vs EPAM Systems Hakkoda vs Endava Hakkoda vs Zensar Technologies Hakkoda vs Version 1