// What We Offer

Our Services

Three focused service lines. Each designed to move you from where you are to where AI can take you.

Service 01

AI Strategy & Roadmapping

Before writing a single line of code, you need to know exactly where AI can move the needle — and where it can't. Our strategy engagement gives you clarity, prioritization, and a concrete plan your board can act on.

What you get

  • AI opportunity audit across your entire business
  • Prioritized use-case backlog with ROI projections
  • Technical architecture recommendations
  • Data readiness assessment and gap analysis
  • 12-month implementation roadmap with milestones
  • Executive presentation deck
8-week engagement Workshops + async

ROI Projection

Quantified business case

+3.4×

Use-Case Backlog

Prioritized opportunities

6 items

12-Month Roadmap

Milestone-based plan

PDF + Deck
Service 02

Custom AI Implementation

We take your roadmap and build it — from LLM pipelines and RAG systems to fine-tuned models and intelligent automation. Production-grade, tested, documented, and integrated with your existing stack.

What you get

  • Production AI application or pipeline
  • Complete API documentation and runbooks
  • Evaluation framework with test coverage
  • CI/CD pipeline for model updates
  • Monitoring and observability setup
  • Team training and handoff sessions

Technologies

Python LangChain LlamaIndex OpenAI API Anthropic Claude FastAPI PostgreSQL Pinecone
8 – 24 weeks Agile sprints
pipeline.py
# RAG pipeline — Orbix Labs
 
from orbix.pipeline import RAGChain
from orbix.store import VectorStore
 
store = VectorStore("pinecone")
chain = RAGChain(
  retriever=store.as_retriever(),
  model="claude-3-7-sonnet",
  temperature=0.1,
)
 
# ✓ Production-ready in 3 weeks
Service 03

AI Operations & Optimization

AI systems degrade. Models drift. Costs creep up. Our retainer service keeps your AI stack performing at peak — with proactive monitoring, iterative improvement, and continuous capability expansion.

What you get

  • Monthly performance and drift reports
  • Cost optimization and token usage audits
  • Prompt and model version management
  • Evaluation benchmark refreshes
  • Capability expansion sprints (quarterly)
  • Dedicated Slack channel + weekly office hours
Monthly retainer Dedicated team
SYSTEM HEALTH Live
Response accuracy 94.2%
API latency (p95) 1.2s
Monthly cost vs budget 67%
User satisfaction 4.8/5
Pricing

Transparent Engagements

Three engagement models to match where you are in your AI journey. All start with a free 30-minute discovery call.

Discovery Sprint

$8K

fixed / engagement

  • AI opportunity audit
  • Top 3 use-cases with ROI analysis
  • Data readiness assessment
  • Executive presentation
  • 2 strategy workshops
Get Started

Retained Partnership

$6K

/ month — ongoing

  • Ongoing AI system monitoring
  • Monthly performance reports
  • Cost optimization
  • Quarterly expansion sprints
  • Dedicated Slack + office hours
Get Started

All engagements include a complimentary 30-minute discovery call. Custom scopes available — let's talk.

Technology

Our Toolkit

We pick the right tool for your problem — not the one we're paid to promote.

LLM Providers

Anthropic Claude OpenAI GPT-4 Google Gemini Meta Llama Mistral

Frameworks & Orchestration

LangChain LlamaIndex Haystack Semantic Kernel DSPy

Data & Vector Storage

Pinecone Weaviate pgvector Qdrant ChromaDB

Cloud & Infrastructure

AWS GCP Azure Vercel Modal Docker
FAQ

Common Questions

We work with companies at Series A and beyond, as well as established mid-market and enterprise businesses. The common thread isn't size — it's readiness: you have a real business problem, some data to work with, and leadership buy-in to invest in AI properly.
A Discovery Sprint runs 8 weeks. Build Engagements range from 8 to 24 weeks depending on complexity. Retained Partnerships are ongoing. We'll give you a precise estimate during the discovery call once we understand your scope.
Yes, always. We treat every client's data, systems, and business information as strictly confidential. We sign NDAs before any substantive discussions and can use your standard template or provide ours.
No — in fact, assessing data readiness is part of what we do in the Discovery Sprint. Many clients come to us knowing they want AI but unsure if their data is good enough. We diagnose gaps and build a plan to address them as part of the engagement.
You do. All code, models, data pipelines, and documentation produced during an engagement are fully owned by you at delivery. No vendor lock-in, no licensing fees, no dependencies on Orbix Labs infrastructure.
Absolutely — and we prefer it. We embed alongside your team, work in your repositories, follow your engineering standards, and transfer knowledge throughout. The goal is to leave your team more capable, not dependent on us.

Find Your Right Engagement

Not sure which service fits? Let's talk it through. A 30-minute call is all it takes to find your path forward.

Book a Free Discovery Call