Give your AI the context to succeed

Deploy production-ready RAG systems that unlock your organization's knowledge.

Book your discovery call

GIVE YOUR AI THE CONTEXT TO SUCCEED

Is generic AI falling short for your business?

Many businesses have critical data and context in their organization that aren’t available for generic models to use. Unlocking this knowledge is critical to delivering accurate, valuable, and reliable outputs. These are common roadblocks we hear about:

Your AI can't access the proprietary knowledge that makes your business unique
Data privacy requirements prevent using third-party AI services
Document processing at scale is too expensive
Existing solutions can't scale to billions of embeddings

Retrieval Augmented Generation (RAG) architectures provide secure, scalable infrastructure for embedding and retrieving your organization’s knowledge. If personalized context and data access have been holding you back, we can help.

Book your discovery call
Limited availability

CONTEXT ENGINEERING PACKAGE

Free RAG and Embedding Consultation

Included:
Business requirements and AI goals
Data context and privacy requirements
Technical architecture recommendations (database, embedding, retrieval)
Implementation roadmap with cost estimates
Custom architecture proposal with AWS cost calculator breakdown
AWS funding eligibility
Book your call today

Use AWS funding to accelerate your AI journey.

As an AWS partner, we can help you secure additional funding for proof-of-concept and deployment work. In some cases, 100% of your implementation cost is covered by AWS.
Risk-free assessment
100% satisfaction guarantee
No commitment required
Gabriel Rinaldi
CTO
Tech 42's partnership accelerated our scalable AI workflow to production.
Tech 42 played a pivotal role in helping us develop a scalable AI workflow for document classification and data extraction. Their early prototypes and thoughtful knowledge transfer provided a solid foundation for our implementation, accelerating our journey to production. The team was collaborative, adaptable, and highly responsive throughout. We look forward to building on this partnership in future phases.

YOUR GUIDE TO RAG AND EMBEDDING

Proven process for enterprise-grade RAG

Our consultative approach begins with listening to your business needs, challenges, and goals. We complete an early discovery process to ensure fine tuning is the right path and then deliver a no-pressure plan to build a proof-of-concept you can evaluate.
Phase 1

Discovery and Design

Your requirements drive everything we do. We’ll review:
Business goals and context requirements
Data types and performance
Available tools and architectures for RAG
Deliverable: Architecture decision document with cost projections
Phase 2

Development

Build embedding and retrieval pipelines that meet your needs. In this phase we’ll deliver:
Functional MVP of embedding and retrieval pipelines
Vector database designed for efficiency and scale
Search and retrieval functionality
Deliverable: Working MVP you can test with real data
Phase 3

Optimization

Our engineers fine-tune retrieval performance for speed and efficiency. We’ll provide:
Retrieval performance analysis
Error handling review
Advanced performance and cost monitoring tools
Deliverable: Performance report with detailed cost analysis
Phase 4

Deployment for Scale

We’ll deliver an enterprise-scale solution ready to handle millions of documents with end-to-end security.
Phase 4

Deployment for Scale

We’ll deliver an enterprise-scale solution ready to handle millions of documents with end-to-end security.
We’re a partner for your success, so we’ll shoot straight and give clear recommendations for work phases, proof-of-concept work to validate our assessment, and maximizing profitability.
Deliverable: Production system with monitoring, documentation, and handoff training

PROVEN, PRODUCTION-READY TOOLS

Why Customers Choose Our Foundation

Real-world, proven architecture
We’ve worked with leading VC-backed startups, SMB, and enterprise customers. Our deployments work and use the same AI tech stack as leaders like Uber, Replit, and Elastic.
Infrastructure as code
Take infrastructure deployment  from a manual, time-consuming  processes to automatic  deployment in minutes and  eliminate your scaling worries.  This becomes your copy/paste  template for future agent  deployments.
Predictable costs
Get a comprehensive breakdown  of AI costs and know how your bill  will grow with usage. There’s no  need for scale to jeopardize  profitability.
Proven security
Security is a given. Securely  integrate your company data and  only leverage the right data at the  right time. Need HIPAA and   SOC II compliance? No problem.
Optimized context
Agent memory and knowledge is  critical for a successful agent that  wows customers. Our team helps  to build the necessary knowledge  bases and memory structures to  ensure your agent is fully  optimized for success.
Unlimited tools and integrations
Connect to any data source and  take any action. Ensure that your  agent has every tool and the  context needed to get the job  done right.
Complete monitoring
Get full visibility into customer  interactions with your agent and  operational costs. Observability,  traceability, and analytics help you  maintain and improve your agent’s  expertise all while optimizing for  profitability.

Ready to build with AI that understands your business?

No sales pitch. No obligation. Just a strategic conversation about what's possible.

Book your discovery call

We help funded startups and high-growth teams design, build, and scale AI applications — leveraging AWS funding programs to lower your costs.