DataTide
Why 74% of AI Projects Fail And the 3 Patterns That Separate Winners
Most AI initiatives never make it to production. Here are the three patterns that separate the 26% that succeed from the 74% that don't.
AI Engineering That Ships
74% of AI Projects Fail.Yours Won't.
DataTide embeds senior AI engineers with your team to take you from use case discovery to production-grade AI without the $250K hire or the failed pilot.
Sound Familiar?
The AI problems everyone has but few solve
"We bought the tools but nothing changed"
97% of enterprises struggled to demonstrate business value from early GenAI efforts. The problem isn't the tools it's the strategy and engineering behind them.
"We don't know what's real vs. hype"
42% of companies abandoned most AI initiatives in 2025, up from 17% in 2024. Without experienced operators, you're guessing and guessing is expensive.
"We can't hire fast enough to keep up"
A full-time Chief AI Officer costs $250K+/year. Our fractional model gives you senior AI engineering leadership at a fraction of the cost starting when you need it.
Our Process
From Confusion to Competitive Advantage
A proven four-phase process that takes you from "where do we start?" to AI in production.
Assess
We map your data landscape, interview stakeholders, and identify the AI use cases with the highest ROI. You get a prioritized roadmap not a generic strategy deck.
Design
We architect the right solution whether that's an agentic workflow, an LLM pipeline, or a RAG system built on your existing infrastructure.
Build & Deploy
Our senior engineers build and ship production-grade AI alongside your team. No handoffs. No orphaned prototypes. Real systems in production.
Scale & Optimize
We monitor performance, optimize costs, and train your team to own it. We leave when you're ready not before.
What We Build
What We Build
Deep expertise across the AI stack from strategy through production deployment.
Agentic AI Systems
Multi-agent orchestration with supervisor and sub-agent patterns. Autonomous workflows that handle complex, multi-step processes with human-in-the-loop safeguards.
LLM Integration & Workflows
Production-grade summarization, classification, and sentiment analysis pipelines. Custom evaluation frameworks for reliability. Prompt engineering that scales.
RAG & Knowledge Systems
Hybrid text and image retrieval architectures. Enterprise knowledge bases with accurate, grounded responses. Domain-specific search over your internal data.
AI Strategy & Team Enablement
Use case assessment and prioritization. Tool selection and onboarding to get your teams productive fast. AI governance frameworks and best practices.
Shipped
What We've Shipped
Real systems in production, not proofs of concept.
AI-Powered Financial Assistant
Built a full-stack AI assistant for a fintech company that handles all user interactions with the platform, from inputs to outputs.
Self-Serve Knowledge Base
Created an enterprise platform that lets engineering teams manage their own knowledge bases through an admin API on gRPC endpoints.
Production Summarization API
Shipped a text summarization service that accepts arbitrary content with tunable parameters to control output length, tone, and focus.
The AI Playbook
View all posts ยปActionable insights for leaders navigating AI adoption no hype, no jargon, just what works.
AI Readiness Checklist: 10 Signs Your Business Is (or Isn't) Ready
Before investing in AI, answer these 10 questions. They'll tell you whether you're ready to build or what you need to fix first.
You Don't Need a Data Science Team to Start Using AI
The biggest myth in AI adoption: that you need a team of PhDs to get started. Here's what you actually need.
Stop Experimenting.Start Shipping.
30-minute assessment. We'll tell you exactly where AI can move the needle for your business and where it can't.