DataTideServices
AI Engineering That Ships
We don't deliver decks. We deliver production systems. From use case discovery to deployed AI built by senior engineers who've done it before.
Our Process
From Discovery to Production
Every engagement follows our proven four-phase process. Enter at any phase based on where you are today.
Assess AI Strategy Sprint (1-2 weeks)
Stakeholder interviews and pain point mapping. Data infrastructure audit. AI use case identification with ROI scoring. You walk away with a prioritized 90-day roadmap and an AI Readiness Report.
Design Solution Architecture (2-4 weeks)
Architecture design for agentic workflows, RAG systems, or LLM pipelines. Tech stack selection and vendor evaluation. Data pipeline gap analysis. Security and governance framework. Deliverable: Technical Design Document.
Build & Deploy AI Development (4-12 weeks)
Production-grade AI system development. Cloud infrastructure on AWS, GCP, or Azure. CI/CD, monitoring, and observability. Full integration with your existing systems. Deliverable: Deployed, tested, production-ready system.
Scale & Optimize Fractional AI Leadership (Ongoing)
Performance monitoring and cost optimization. Team training and knowledge transfer. Quarterly roadmap reviews and new use case identification. Deliverable: A self-sufficient team with ongoing advisory support.
Capabilities
What We Build
AI-first, full-stack. We handle everything from strategy to cloud infrastructure.
Multi-agent orchestration with supervisor and sub-agent patterns. Autonomous workflows for complex processes. Human-in-the-loop design for high-stakes decisions.
Summarization, classification, and sentiment analysis pipelines. Custom evaluation frameworks (evals) for reliability. Production-grade prompt engineering.
Hybrid text and image retrieval architectures. Enterprise knowledge bases with grounded, accurate responses. Domain-specific search over internal documents.
Use case assessment and prioritization. Tool selection and team onboarding. AI governance frameworks. We help your team get efficient with AI fast.
Data pipeline design and optimization. Cloud-native data warehouses and lakes. ELT/ETL pipeline development. The foundation that makes AI possible.
AWS, GCP, and Azure architecture. CI/CD pipelines, infrastructure as code, monitoring and observability. Production-grade deployment that scales.
Why DataTide
What we've shipped
Real systems in production, not proofs of concept. Every engagement below was designed, built, and deployed by our team.
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. End-to-end: design, development, deployment.
Self-Serve Knowledge Base Platform
Created an enterprise platform that lets engineering teams manage their own knowledge bases through an admin API on gRPC endpoints. Built for scale and self-service.
Production Summarization Service
Shipped a text summarization API that accepts arbitrary content with tunable parameters to control output length, tone, and focus. In production, serving real traffic.
Ready to ship AI that actually works?
30-minute call. We'll identify your highest-ROI AI opportunities and map the path to production.