Top AI Agent Consultancies

GeekyAnts

AI-powered digital product engineering and advisory

Founded 2006 | Bangalore, India | 201-500 employees
coding-agentsmulti-agent-systemsworkflow-integration

What is GeekyAnts?

GeekyAnts was founded in 2006 and is headquartered in Bangalore, India, with a U.S. office in San Francisco and roughly 450-500 employees. The company runs an annual Geekathon event showcasing autonomous agents and multi-agent architectures, and offers generative AI, AI copilots, and agentic-workflow advisory alongside its core product engineering practice.

GeekyAnts works primarily with clients in SaaS, Retail, Media sectors. Its primary differentiator is: 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon).

GeekyAnts tech stack and services

LangChainOpenAIAWSKubernetesNode.js
Service area
Coding Agents
Multi-Agent Systems
Workflow Integration

GeekyAnts pricing

Short answer: GeekyAnts uses a dedicated team, fixed project pricing approach. Minimum engagement starts at $20K.

Engagement model Typical range Best for
Dedicated team Variable; depends on team size Large programmes or team augmentation
Fixed project From $20K Well-defined scope
Staff augmentation Variable; depends on team size Large programmes or team augmentation
GeekyAnts does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

GeekyAnts pros and cons

Advantages Things to consider
+Strong product-engineering track record dating back to 2006 -Broader product-engineering identity means agent advisory is one service line among several
+Active internal R&D events (Geekathon) demonstrate ongoing agent-tech investment -US and India office split can add timezone coordination for real-time collaboration
+Sizeable team (450-500) offers good advisory-and-delivery capacity at mid-market pricing

GeekyAnts vs alternatives

How GeekyAnts 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
Rearc Enterprises wanting engineering-first advisory, not slide decks. Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off 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
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

GeekyAnts FAQ

What is GeekyAnts?

AI-powered digital product engineering and advisory

How much does GeekyAnts charge?

GeekyAnts uses dedicated team, fixed project pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.

What tech stack does GeekyAnts use?

GeekyAnts works with LangChain, OpenAI, AWS, Kubernetes, Node.js. Primary industries served include SaaS, Retail, Media.

Is GeekyAnts right for enterprise?

Product teams wanting AI-agent advisory within custom builds. 201-500 team size. Key consideration: Broader product-engineering identity means agent advisory is one service line among several.

What are the best GeekyAnts alternatives?

The best alternatives to GeekyAnts 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
See full alternatives list

Compare GeekyAnts with other AI Agent consultancies