What does an enterprise AI consulting company do?

An enterprise AI consulting company assesses AI readiness, designs production-grade LLM architecture, and builds AI systems-from RAG pipelines and agents to fine-tuned models and LLMOps stacks.

How long does an enterprise AI consulting engagement take?

Starter engagements: 6–8 weeks. Growth-tier: 10–14 weeks. Enterprise platforms: 14–22 weeks. All timelines fixed at kickoff.

How much does enterprise AI consulting cost in San Francisco?

Engagements start at $40K for strategy plus build, $60K–$120K for Growth-tier, and $120K–$250K for Enterprise-all fixed-price.

Who owns the IP after the engagement?

You own 100% of all intellectual property-code, fine-tuned weights, architecture docs, and data pipelines. IP assignment is contractual from Day 1.

Why is EngineerBabu qualified to do enterprise AI consulting?

Google for Startups AI Accelerator alumni, LinkedIn Top Startup, Clutch 4.9★, 24 unicorns shipped, production AI delivered in fintech, healthcare, SaaS, and regulated enterprise verticals.

Can you handle HIPAA and SOC 2 for enterprise AI in San Francisco?

Yes. HIPAA, SOC 2 Type II, CCPA, and NIST AI RMF documentation are included in Growth and Enterprise tiers-built into architecture from day one.

Do you work in San Francisco / Bay Area timezone?

Yes. Full PT timezone coverage-daily standups, Slack, weekly demos, and direct founder access across San Francisco, Palo Alto, San Jose, and the Bay Area.

Is the engagement fixed-price or time and materials?

Fixed-scope and fixed-price. Scoped proposal delivered within 48 hours of strategy call. 70% of clients extend into 6+ month roadmaps.

AI Accelerator Top 20 Startups

Top 20 Indian Startups

Enterprise AI Consulting Company in San Francisco

Q: What kinds of enterprise AI systems can EngineerBabu build in San Francisco?

LLM copilots, RAG knowledge bases, autonomous AI agents, compliance monitors, clinical decision support tools, and generative AI analytics platforms using GPT-4o, Claude 3.5, Gemini, LLaMA 3, and Mistral.

Q: How do I get started?

Book a free 30-min strategy call. You'll receive a scoped proposal with architecture recommendation, pricing tier, and timeline within 48 hours-no obligation.

From AI strategy and LLM architecture to production deployment-from $40K. Serving Series B+ startups, mid-market scaleups, and Fortune 500 teams across San Francisco, Silicon Valley, and the Bay Area. We work directly with your CTO, product leads, and engineering teams, no account managers in the middle. Engagements are scoped for speed, built for scale, and designed to survive well beyond the handoff.

Book a Free 30-min Strategy Call See Our AI Work

97% Client Retention Rate

100+ products launched

04 Unicorns Shipped

USA · UK · KSA delivery

ISO & NDA Compliant

Trusted by category-defining companies across the USA, UK, India & the Middle East.

WHO IT'S FOR

How to Work With EngineerBabu on Hybrid App Development

Your product stage defines your engagement model. We offer three ways to access our hybrid app development services, from a single sprint to full end-to-end ownership.

Chief AI Officer / VP of Engineering (Enterprise)

You're standing up an AI center of excellence and need an external partner who can audit your data infrastructure, recommend the right LLM stack, and co-build the first production system-without a 12-month consulting engagement.

Get a free consultation

CTO / Co-Founder (Series B-D Startup)

You've validated AI as a product differentiator and need to move from prototype to platform fast. You want a senior team that owns architecture decisions, builds production systems, and hands off clean code-not a slide deck.

Get a free consultation

Head of Digital Transformation (Mid-Market Enterprise)

You're piloting AI across one or two business units-automating workflows, enabling smarter search, or deploying customer-facing AI. You need a consulting partner who builds, not just advises.

Get a free consultation

Key Features

Built for Teams Shipping AI in Production

AI Strategy & Roadmap

Deliver a 90-day AI execution plan: use-case prioritization, build-vs-buy analysis, LLM selection, and ROI model using proven enterprise frameworks.

LLM Architecture Design

Design scalable LLM systems using GPT-4o, Claude 3.5 Sonnet, or Gemini 1.5 Pro - with prompt engineering, context window management, and output structuring via LangChain.

RAG System Engineering

Build enterprise-grade retrieval-augmented generation pipelines over proprietary data using Pinecone, pgvector, or Weaviate with sub-200ms retrieval latency.

AI Agent Development

Architect multi-step autonomous agents using LangGraph or CrewAI - capable of reasoning, tool use, and API orchestration across your enterprise systems.

Model Fine-Tuning

Customize open-source LLMs (LLaMA 3, Mistral) for your domain with LoRA/QLoRA on AWS SageMaker or Google Vertex AI - reducing hallucination rates by 40–60%.

AI Integration & API Layer

Build clean, versioned REST or GraphQL AI APIs on FastAPI or NestJS - integrating with Salesforce, SAP, Workday, or custom ERP/CRM systems.

LLMOps & Governance

Implement full LLMOps stacks: LangSmith for tracing, Helicone for cost monitoring, and NeMo Guardrails for safety - essential for enterprise AI governance.

AI Compliance & Security

Architect SOC 2, HIPAA, CCPA, and NIST AI RMF-aligned systems with PII redaction, granular access controls, and full audit logging baked in from day one.

Want one of these live in 8 weeks?

Book a strategy call

AI AGENT SOLUTIONS

Types of AI Agents You Can Build With Us

AI Readiness Assessment

A structured 2-week audit of your data infrastructure, tech stack, and team capabilities - producing a prioritized AI roadmap and build-vs-buy recommendation. Delivered as a 40-page strategy document and executive presentation. Best for: Enterprises beginning their AI journey, boards seeking AI investment justification.

LLM Product Architecture

End-to-end architecture consulting for your AI product-model selection, prompt design, RAG pipeline, agent orchestration, and deployment topology. We co-architect and then build. Best for: Series B+ startups building AI-native products, CTOs replacing legacy search or automation.

AI Pilot-to-Production Program

Take a validated AI prototype and harden it for enterprise production: latency optimization, observability, guardrails, compliance documentation, and CI/CD pipeline setup, engineered to handle real load without breaking. Best for: Companies with a working POC that needs to scale reliably to 10,000+ daily users.

Enterprise AI Integration

Connect AI capabilities to your existing enterprise systems-Salesforce, SAP, ServiceNow, Workday, or Microsoft Dynamics 365-via secure, versioned API layers with absolutely zero disruption to live, running workflows. Best for: Mid-market and enterprise teams adding AI features to existing platforms.

Ongoing AI Advisory Retainer

Monthly or quarterly AI advisory: model evaluation, prompt regression testing, cost optimization, and strategic guidance as your AI roadmap evolves, from the same senior team that actually built your system. Best for: Post-launch enterprises scaling AI usage or expanding confidently into new verticals.

Not sure which agent fits your workflow?

Get a free use-case audit

Built With the Modern AI Stack

LLMs & Foundation Models We've Worked With

We're proud to have partnered with top VC-backed companies, helping them achieve their growth milestones.

GPT-4o

Anthropic Claude 3.5 Sonnet

Mistral Large

Google Gemini 1.5

Cohere Command R+

Meta Llama 3

Frameworks & Orchestration We've Worked With

We're proud to have partnered with top VC-backed companies, helping them achieve their growth milestones.

LangChain

LangGraph

CrewAI

LlamaIndex

AutoGen

Semantic Kernel

Vector DBs & Infrastructure We've Worked With

We're proud to have partnered with top VC-backed companies, helping them achieve their growth milestones.

Pinecone

Weaviate

pgvector

Qdrant

Elasticsearch

Mongo Atlas Vector

Cloud & DevOps We've Worked With

We're proud to have partnered with top VC-backed companies, helping them achieve their growth milestones.

AWS · Bedrock

Google Cloud

Azure OpenAI

Kubernetes + Terraform

Vercel · Modal

LangSmith + Datadog

Pricing

Built for Teams Shipping AI in Production

$40K-$60K /month

(6-8 weeks)

Starter

Best for: Series B startups, first enterprise AI module, AI pilot-to-production

AI readiness assessment + architecture design
1 core AI system (copilot, RAG search, or agent)
LLM integration (GPT-4o, Claude 3.5, or Gemini)
2-3 enterprise system integrations
LLMOps dashboard (Helicone or LangSmith)
SOC 2 readiness documentation
30-day post-launch support
Full IP ownership + NDA signed Day 1

A Process Designed for Outcomes

We follow a transparent, collaborative process, from discovery to deployment. Designed to help founders move fast, stay lean, and build reliable, scalable products.

Discovery & AI Audit

Assess your existing data assets, tech stack, team capabilities, and AI use-case priorities with zero assumptions. Deliverable: AI readiness score, prioritized use-case shortlist, and recommended LLM stack.

Architecture & Strategy

Design the full system architecture-LLM selection, RAG topology, agent design, integration map, and compliance plan. Deliverable: Architecture doc, data flow diagrams, compliance checklist, and 90-day build plan.

Core AISystem Build

Build the prioritized AI system: prompt chains, RAG pipeline, agent orchestration, API layer, and initial UI integration. Deliverable: Working AI system integrated with your primary data source and at least 2 enterprise systems.

Integration & Data Pipeline

Connect AI outputs cleanly to your CRM, ERP, BI tools, or customer-facing surfaces via clean API contracts. Deliverable: Fully integrated system with end-to-end data flow thoroughly validated in staging.

QA, Red-Teaming & Compliance

Run hallucination benchmarks, adversarial prompt tests, PII audits, and SOC 2 / HIPAA control reviews before anything goes live. Deliverable: Evaluation report, guardrail config, compliance attestation documentation.

Production Launch & Handoff

Deploy to VPC or cloud environment, set up CI/CD, configure LLMOps dashboards, and hand off with full documentation. Deliverable: Live production system, architecture runbook, LLMOps dashboard, 30-90 day SLA.

Aanchal Chaurasia Director, EngineerBabu

Schedule a Free Consultation

CASE STUDIES

What We’ve Built With Leaders and CXOs

Bank Open Neobank Platform

Bengaluru

Google x EngineerBabu AI Based Hackthon Assessment

India

Airbox E-commerce Marketplace

Singapore

Chhattisgarh PoliceSummons & Warrant Management

India

Shule Direct Ed Tech Platform

East Africa

Invulb Wealth Management App

India

Framebazaar E-commerce Platform

India

LumiereB2B Healthcare Marketplace

Singapore

ShoppiGrocery Delivery App

Africa

AskMeEdTech App

India

BURQ Custom Logistics Platform

USA

Supersourcing AI-Powered Hiring Platform

India

Digital Training Platform Baxolile Mabinya

Deviare Digital Training Platform

South Africa

Delivery Management Platform Deepak Verma

Delivr Delivery Management Platform

UAE

Rx Agile Trainer-First Learning Platform

Bengaluru

Nigerian Air Force Process Automation Platform

Africa

Butterfly Social Discovery App

Switzerland

Why Us

Why EngineerBabu?

We sign strict NDAs, ensure full IP ownership, and follow ISO-certified processes. With dedicated development teams, flexible engagement models, and 24/7 support, we are a trusted CMMI level 5 hybrid app development company committed to quality and on-time delivery.

1250+ Projects Delivered

1000+ Happy Clients

170+ Expert Talent

Transparent Pricing

Proven Expertise

Top-notch IT Solutions

Get a Free Consultation

Backed by Industry Leaders and Certifications

Featured in Google for Startups AI Accelerator and recognized by LinkedIn as a Top Startup.

AI ACCELERATOR TOP 20 STARTUPS 2024

Top 20 Indian Startups 2023 & 2024

Highly rated on Clutch with an impressive 4.9★!

Proudly showcased in the Google for Startups AI Accelerator and celebrated by LinkedIn as a Top Startup!

Regulatory Compliance, Built Into Every Layer

Our Mortgage App Development Services are designed with regulatory compliance at the core. From PCI DSS and PSD2 to GDPR, AML/KYC, CCPA, and Open Banking standards, we embed audit-ready controls directly into your platform architecture.

Honest feedbacks

Stories From Founders Who’ve Worked With Us

Harshit Thareja Co-Founder

Singapore

Anish AchuthanCEO & Co-Founder

Bengaluru

Bhavna GuptaIPS Officer

Chhattisgarh

Danny SchwartzFounder & CEO

United States

Adam Faanes CTO & Co-Founder

New York

Andile NgcabaChairman & Founder

South Africa

Lakshmikant SinghFounder & CEO

India

Baxolile Mabinya Co-Founder

South Africa

Analyzing the Competition

Agencies Deliver Projects, We Deliver Growth.

Offshore Body-Shop

Freelancer / Local Studio

Entry price

NDA + IP transfer pre-discovery

Design-led product thinking

Senior AI engineers on every project

Code, prompts & weights ownership

Post-launch SLA

Founder / CTO access

Weekly demos

US-timezone overlap

From $40K (senior team, strategy + build)

Signed Day 1, always

Included - AI UX + architecture

4-6 senior AI specialists

100% yours, contractually

30-90 days, tiered by plan

Direct to founding team

Every sprint, without asking

Full PT-ET Bay Area coverage

$20K-$50K (junior teams)

Standard contract only

Not included

Mid-level, high churn

Often retained

30 days max

Account manager only

Monthly at best

2-4 hrs

$10K-$30K (strategy only, no build)

Often delayed

Rare

1-2 generalists

Negotiable

None

Direct

Inconsistent

Limited

US DELIVERY COVERAGE

Supporting AI Teams Across the United States

Serving founders and engineering leaders across major US cities. We maintain daily working overlap with PT, MT, CT, and ET time zones, no lag, no delays. SOC 2-ready delivery from day one. NDAs signed before calls, every time. Your IP stays protected from the first conversation to the final handoff.

Get a Free Consultation

Mayank Pratap Singh Founder, EngineerBabu

Supporting AI Teams Across the United States

FAQs

Frequently Asked Questions

An enterprise AI consulting company assesses your AI readiness, designs a production-grade LLM architecture, and builds the AI systems your business needs-from RAG pipelines and AI agents to fine-tuned models and LLMOps stacks. EngineerBabu goes beyond slide decks: we deliver working software.

We build LLM copilots, RAG knowledge bases, autonomous AI agents, AI compliance monitors, clinical decision support tools, and generative AI analytics platforms-using GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and fine-tuned LLaMA 3 or Mistral models.

Starter engagements run 6–8 weeks. Growth-tier multi-module builds take 10–14 weeks. Enterprise platforms with VPC deployment, fine-tuning, and full compliance documentation take 14–22 weeks. All timelines are fixed and locked at project kickoff.

EngineerBabu's enterprise AI consulting starts at $40K for a strategy-plus-build engagement, $60K–$120K for a Growth-tier multi-module platform, and $120K–$250K for a full Enterprise AI platform with dedicated pod and compliance documentation-all fixed-price.

You own 100% of all intellectual property-code, fine-tuned model weights, architecture documents, and data pipelines. IP assignment is contractual from Day 1. We retain no license or rights to your system.

We were selected for the Google for Startups AI Accelerator, recognized by LinkedIn as a Top Startup, rated 4.9★ on Clutch with 120+ reviews, and have shipped AI systems for 24 unicorn-stage companies. Our team has delivered production AI in fintech, healthcare, SaaS, and regulated enterprise verticals.

Yes. We architect for HIPAA (PHI handling, BAA-ready deployment), SOC 2 Type II (Trust Services Criteria), CCPA (California data rights), and NIST AI RMF (AI governance documentation) from day one-not as a retrofit. Compliance documentation is included in Growth and Enterprise tiers.

Yes. Full PT timezone coverage-daily standups, Slack, weekly demos, and direct founder access. We've served clients across San Francisco, Palo Alto, San Jose, Oakland, and the broader Bay Area for over 14 years.

All engagements are fixed-scope and fixed-price. We deliver a scoped proposal within 48 hours of your strategy call-locking timeline and price before any work begins. 70% of clients extend into 6+ month roadmaps after their first delivery.

Book a free 30-min strategy call. Bring your use case, current tech stack (if any), and your key constraint-timeline, budget, or compliance. You'll receive a scoped proposal with architecture recommendation, pricing tier, and timeline within 48 hours-no obligation.