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Krazimo

AI Consulting Strategy

Krazimo delivers custom AI engineering — agents, RAG systems, and ML deployments — built by former Google Workspace engineers.

About

Krazimo is an AI engineering firm founded in 2023 by Akhil and Mridul, senior engineers who led AI projects at Google Workspace. Based in Bengaluru, India, they work with businesses globally on custom AI solutions spanning strategy, agentic systems, automation, and ML deployment.

Krazimo caps active engagements at 10 projects and limits their team to 15 engineers, all drawn from former colleagues at Google or comparable companies. Clients have replaced larger engineering teams with 2–3 Krazimo developers. They prioritize deterministic, production-grade AI over demo-ware — building with strict data governance, rigorous evaluation including reflection, functional testing, and MITM validation, and cloud-native delivery on Google Cloud, AWS, and Azure.

Their two products — a Custom AI CRM and RAG as a Service — extend their service work into reusable AI infrastructure for enterprise clients.

What They Do

AI Strategy Consulting

  • Defines enterprise AI roadmaps tied to business KPIs

  • Covers governance, risk management, and data availability

  • Collaborates with in-house data science teams for measurable outcomes

Conversational Bots & Multi-Agent Systems

  • Builds virtual assistants for support, onboarding, and sales

  • Multi-agent orchestration for internal tooling (databases, documents) with compliance controls

  • Generative AI and deep learning for retrieval, summarization, and action at enterprise scale

Automation & Intelligent Workflows

  • Automates repetitive business processes across functions

  • Applies predictive analytics and ML for routing, alerts, and workload balancing

  • Computer vision for fraud detection and predictive maintenance

Machine Learning Deployment

  • Production-ready deployment with real-time APIs, batch inference, and canary rollouts

  • Model serving, versioning, and monitoring for drift, latency, and cost

  • Cloud-native on Google Cloud (Vertex), AWS, and Azure; classic ML where it outperforms LLMs

AI-Assisted Full-Stack Development

  • Senior engineers using AI tooling across the full software development lifecycle

  • Builds and extends custom AI into web, mobile, and service layers

  • Production hardening, CI/CD, and observability for long-term sustainability

Products

  • *Custom AI CRM*: AI-powered workflows that automate the customer lifecycle — lead conversion, account management, and proactive strategy — integrated into existing CRMs

  • *RAG as a Service*: Converts siloed enterprise data into interactive intelligence using vector, graph, or relational databases with precision retrieval

Services & Tech Stack

Services

  • Custom AI App Building
  • Multi Agent Workflow Orchestration
  • RAG Pipeline Development
  • Business Process Automation
  • AI Use Case Identification

Is This a Fit?

Best For

Businesses needing production-grade AI systems — agents, RAG pipelines, or ML deployments — that require engineering rigor and reliability, not prototypes.

Not a Fit For

Teams needing large-scale staff augmentation, low-budget experimentation, or quick-turn marketing AI tools with no production requirements.

Ideal Client

CTOs or heads of engineering at growth-stage companies or mid-market enterprises who want a small, senior AI team to replace or complement internal engineering capacity with measurable AI outcomes.

Track Record

Founded in 2023 by former Google Workspace engineers; team of 10–49 capped at 15 senior engineers; 9+ verified client reviews on Clutch averaging 5.0, with projects ranging from €50,000 to €200,000.

Common Outcomes

  • AI-driven grading system achieving 85%+ accuracy for an EdTech client
  • Crypto research agentic AI delivering real-time buy/sell ratings from live data sources including Twitter, Token Metrics, and CoinGecko
  • MVP for AI-powered product delivered on time covering full UI, backend, and frontend
  • Client engineering teams of 5 replaced by 2–3 Krazimo AI partners

Notable Clients

Automatons312 SchoolArivihan15RockAd Verbum02Launch LLCGraph AI

Use Cases

Workflow process automationAI customer supportAutomated document processing

Case Studies

This vendor has not published detailed case studies yet.

At a Glance

  • Location

    Bengaluru, India

  • Founded

    2023

  • Team Size

    11 – 50
  • Typical Budget

    $50,000–$199,999

  • Timeline

    Sprint-based delivery; MVP timelines evidenced across client projects; enterprise engagements ongoing with weekly reporting cadence.

  • Delivery

    Remote
  • Engagement

    Project BasedRetainer
  • Pricing

    $100 - $149
  • Client Tier

    SMBMid Market
  • Regions Served

    Southern AsiaNorthern AmericaWestern Europe
  • Languages

    EnglishHindi

Focus Areas

Specialties

Google Pedigree Engineering TeamCapped at 10 active projectsDeterministic AI over fragile agentsEnterprise Grade ML DeploymentRAG as a Service

Verticals

Fraud DetectionContract ManagementPersonalised LearningCustomer Data Platforms

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KrazimoListed on AI Development Companies 2026

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Signal
CategoryAI Consulting StrategyAI Consulting StrategyAI Consulting Strategy
LocationBengaluru, IndiaLondon, United KingdomBerlin, Germany
Team SizeNot listedNot listedNot listed
Client TierSMBEnterpriseEnterprise
Delivery ModelRemoteHybridHybrid
Typical Budget$50,000 – $199,999$250,000+Not listed
Services
Custom AI App BuildingMulti Agent Workflow OrchestrationRAG Pipeline Development+2
AI Use Case IdentificationAI Operating Model DesignAI Proof of Concept+2
AI Use Case IdentificationAI Operating Model DesignAutonomous AI Agents+2
Tech Stack
Google Vertex AIAWS BedrockAzure OpenAI Service+1
Not listedNot listed