AI Implementation

You have the product. We'll make it AI-native.

You're a tech company with a working product and real users. We embed AI into your core product - automating workflows, adding intelligence, and unlocking scale you can't reach manually.

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50+
AI features shipped to production
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GPT, Claude, Gemini
LLMs we work with daily
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98%
Client satisfaction rate

Sounds familiar?

The AI gap is real. And it's widening.

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Competitors are shipping AI. You're watching.

We solve this!

We provide technical leadership to get AI into your product, so you're shipping, not watching.

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Your team doesn't know where to start

We solve this!

We bring a clear AI strategy and prioritized roadmap, so your team knows where to start.

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In-house AI experimentation is slow and costly

We solve this!

We give you senior AI leadership on-demand without the hiring timeline or building from scratch.

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You've tried AI pilots that never shipped

We solve this!

We own the path from pilot to production, so what you build actually reaches users.

Is this you?

Read these. If you nod at most of them - we should talk.

You're a fit if...

You have a working tech product with real users

You want AI features but your team lacks the expertise to build them

You've tried AI experiments internally and they never reachedproduction

You need to ship AI fast - competitors are already moving

You want a senior AI team that owns the outcome, not just the tickets

You're looking for strategy + execution in a single engagement

Probably not a fit if...

You're pre-product or pre-revenue

You already have a strong in-house AI/ML team

You need a single developer for a small task

Typical Profile

Stage

Series A – Series C

Team size

10–200 people

Tech team

Engineers exist, no AI specialists

Product type

B2B or B2C tech product

Every type of AI your product could need.

We don't just advise - we build, deploy, and hand off production-ready AI systems.

LLM Integration & Setup

ChatGPT-like features inside your product

Integrate GPT-4, Claude, or Gemini directly into your product - chat interfaces, AI assistants, content generation, summarization.

In-app AI assistants

Content generation

Smart summarization

Multi-turn conversations

Implement this

RAG & Knowledge Bases

AI that actually knows your data

RAG pipelines that let your AI answer questions from your own documents and databases - accurately, without hallucinations.

Document Q&A

Internal knowledge search

Support automation

Semantic search

Implement this

AI Agents & Automation

Workflows that run themselves

Autonomous agents that execute multi-step tasks - calling APIs, making decisions, and replacing repetitive human workflows end-to-end.

Autonomous task execution

Multi-step agents

API orchestration

Background AI workers

Implement this

Custom ML
Models

Built for your data, not generic

When off-the-shelf LLMs aren't enough - we fine-tune or train models on your data for classification, prediction, and anomaly detection.

Fine-tuned LLMs

Classification models

Anomaly detection

Recommendation engines

Implement this

AI-Powered Analytics

Insights your team never had time to find

Natural language queries, automated reports, anomaly alerts, predictive dashboards - no data science team required.

Natural language queries

Automated reporting

Predictive dashboards

Anomaly alerting

Implement this

AI Ops & Infrastructure

AI that stays reliable at scale

Observability, prompt versioning, cost optimization, latency tuning, and failover logic - so your AI features stay fast, cheap, and reliable.

LLM cost optimization

Prompt management

Observability & logging

Failover & reliability

Implement this

Every AI provider. Every framework.

Our engineers are fluent across the full AI stack - from OpenAI and Anthropic APIs to custom agent architectures and production RAG systems.

Core ML stack

Python / FastAPI

LLM APIs

OpenAI & Anthropic

Agent frameworks

LangChain / LlamaIndex

Knowledge pipelines

RAG Architecture

Autonomous workflows

AI Agents

Vector Databases

Pinecone, Weaviate, Chroma

GPT-4o
Claude 3.5
Gemini 1.5
Prompt Engineering
Pinecone
Weaviate
ChromaDB
LlamaIndex
Semantic Search
Function Calling
Embeddings
Streamlit
Need a specialist in a specific AI technology?
Tell us what you need

From idea to live AI in weeks.

You don't need to figure it out - just tell us what you want to achieve.

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Share Your AI Goals

Tell us what you're building - which LLMs you use, what workflows to automate, and whatoutcomes you're after. We map your needs to the right implementation strategy.

LLM provider & framework matching

Use-case feasibility assessment

Effort & timeline estimation

We Design the Solution

Within 48 hours you receive an architecture proposal - the right stack, the right approach, anda phased implementation plan built around your product and data.

Architecture design & stack selection

RAG, agent, or LLM integration plan

Phased delivery roadmap

We Build and Hand Off

Our senior AI engineers build it to production. You stay in control - we handle the complexity,ship the features, and hand off with full docs and a trained team.

Production deployment

Full documentation & handoff

Team knowledge transfer

Not just another dev agency.

Most agencies say they do AI. Few have shipped it to production at scale. We know what works, what doesn't, and how to move fast without breaking things.

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AI-native engineers
Our team works exclusively on AI implementation - not generic developers who dabble. They've built RAG systems, fine-tuned models, and shipped agentic workflows to real users.
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Production-first mindset
We don't build demos. Every engagement is scoped, tested, and delivered with observability, cost controls, and handoff docs baked in from day one.
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Strategy + execution in one
You get CTO-level AI strategy and senior engineering execution in a single engagement. No handoff between consultants and builders - we own both.

48hrs

To first implementation proposal

50+

AI features shipped to production

Senior only

No juniors on AI-critical code

100%

Production delivery, every time

What our clients have to say.

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Daniel Roth
CTO, Loopify
"5Blue embedded an AI engineer into our team within days. They built a RAG pipeline on top of our knowledge base that cut our support ticket volume by 40%. Exactly what we needed, shipped fast."
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Sarah Kim
VP Product, Stackwise
"We had vague AI ambitions and no idea where to start. 5Blue gave us a crisp roadmap in 2 weeks and then built the first two features themselves. The LLM integration they delivered is now our #1 product differentiator."
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Marc Levinson
CEO, Datavore
"Unlike agencies that just consult and hand off a doc, 5Blue actually built it. Production-grade, documented, and the team could maintain it day one. We went live in 6 weeks."
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Three ways to go AI-native with us.

Start where you are. Scale as fast as you want.

2–3 weeks

AI Adoption
Audit

Find your highest-ROI AI opportunities.

Before building anything, we map your product, data, and workflows to find where AI will have the biggest impact. You get a prioritized roadmap of the highest ROI moves for your product, with no vendor bias.

Full product & data landscape review

AI opportunity scoring & prioritization

Build-vs-buy-vs-integrate analysis

Implementation roadmap with effort estimates

Investor/board-ready AI narrative

Request an Audit
4–12 weeks

Partial AI Implementation

Ship your first AI features. Fast.

We take the top 1 to 3 opportunities from the audit and build them to production. A dedicated AI engineer joins your team, handling everything from architecture to deployment.

Architecture design & LLM selection

End-to-end feature build (RAG, agents, or LLM integration)

Staging & production deployment

Prompt engineering & evaluation framework

Team handoff with full documentation

Start Implementing
2–3 weeks

Full AI Scale –
VIP

We become your AI department.

For companies going all-in on AI. We embed engineers, architects, and our CTO into your team. We set the strategy, build the features, run the infrastructure, and keep optimizing. You get a full AI department without hiring one.

Dedicated AI engineering team (2–4 engineers + CTO oversight)

Full AI roadmap execution across all product areas

Custom model fine-tuning & ML pipelines

AI ops infrastructure: observability, cost optimization, reliability

Monthly strategy reviews & competitive AI analysis

Priority access & 48hr SLA on critical AI incidents

Apply for VIP
Ready to make your product AI-native?

Book a free 30-minute call. We'll map the top 3 AI opportunities in your product and tell you exactly what to build first.

Book a Free AI Strategy Call