Build on AWS
with OpenAI Models
You don’t need to pick between OpenAI and AWS anymore. Build your first GenAI project with GPT-class models inside your AWS account — one stack, one bill, production-ready in 4–6 weeks. With generous funding from AWS.
Your team has a GenAI initiative on the roadmap. Executive sponsorship, budget, and a clear business case.
Yet it keeps getting delayed.
Not because the use case is unclear, but because decisions around models, vendors, and infrastructure slow momentum before execution even begins.
Until recently, adopting OpenAI often meant adding a separate cloud, contract, billing model, and compliance boundary. That complexity added friction and delayed projects.
Now, OpenAI is available on Amazon Bedrock. Organizations can build GenAI applications on AWS using GPT-class models, Anthropic Claude, Amazon Nova, or a combination of models, all within the same AWS account, security model, and procurement process.
As a launch partner for OpenAI on Bedrock, Loka helps organizations move from concept to production in 4–6 weeks. With AWS funding available, we deliver production-ready solutions and working code your team can own and extend.
Why Assess?
OpenAI on
Day One
GPT-class models available in your AWS account from the moment you start building. No separate vendor relationship, no separate billing, no separate security review.
One Cloud,
One Stack
Your data, vector DB, agents, identity, observability and deployment all live in the same place from project zero. No cross-cloud architecture to maintain.
Model Optionality Without the Commitment
We benchmark OpenAI, Anthropic Claude, Amazon Nova and open source per workload. You pick what’s right per use case and you can swap freely as models evolve.
How It Works
Use Case Shaping
(1 week)
We define the right first use case together: success criteria, evaluation framework, data requirements, and the right model candidates. We start from your actual business goal, not a technology demo.
Architecture + Prototype
(1-2 weeks)
We build a working prototype on Bedrock with OpenAI and at least one comparison model. Live evals against your real data — not synthetic benchmarks. You see what you’re actually getting before we harden anything.
Production Hardening
(1-2 weeks)
Identity, networking, observability, cost controls, agent loops, deployment automation, SLO definition. Everything your engineering team needs to operate this in production.
Launch + Handoff
(1 week)
Production cutover, runbooks, knowledge transfer, and a sequenced roadmap for your next 3–6 use cases on the same foundation.
Who Is This For?
AWS customers launching their first GenAI initiative and looking for a practical path from strategy to production
Organizations under pressure to deliver AI outcomes but without a clear starting point, roadmap or implementation plan
Product teams that want GPT-class capabilities on AWS without additional vendor contracts, security reviews or operational overhead
Engineering leaders standardizing GenAI on AWS from day one to avoid future migrations and simplify long-term operations and governance
What Loka Delivers to You
Production-ready GenAI deployment
Working code, infrastructure-as-code, observability dashboards, and runbooks. Your team can operate it from day one — no Loka dependency after handoff.
Eval framework + benchmark data
Reproducible evals across every model candidate we tested, using your data. Re-run them as models evolve and swap without starting over.
Full AWS architecture
IAM, KMS, VPC, vector DB, agent loops, observability, cost controls — built to AWS Well-Architected. Audit-ready from the start.
Roadmap for use cases 2–N
A sequenced plan for the next 3–6 GenAI use cases your team can ship on the same foundation. Your second project takes a fraction of the time.
Helping Leaders Make Sense of the Technical Landscape Since 2004
