Ship AI That Runs in Production.
From Bedrock POC to a live, reliable, cost-controlled AI feature. Dcode delivers the full path - model selection, data plumbing, evals, observability, and the ops that keep it running.
For teams adding AI to an existing product. Building an AI-native product? See AI Companies on AWS.
Authorized AWS Reseller. AWS GenAI credits available for qualifying workloads.
The Problem
The Problem with Most AI Projects.
Without Dcode
Demo works, but prod breaks. Latency spikes at scale. Costs explode with traffic. No evals - quality is a guess. Security posture unclear.
With Dcode
Prod-grade pipeline from day one. Evals + guardrails baked in. Cost + latency SLOs enforced. Bedrock/OpenSearch/SageMaker chosen fit-for-purpose.
AWS AI Methodology
From Idea to Production - the AWS Way.
Use Case Assessment
Define the business problem, identify success metrics, and assess feasibility. We evaluate which AWS AI services fit your use case - Bedrock, SageMaker, or hybrid - before any code is written.
Experimentation & POC
Rapid prototyping with your data. Model benchmarks, RAG pipeline setup, chunking strategy, and retrieval evals. Cost/latency/accuracy tradeoffs quantified before you commit.
Productionization
Guardrails, eval suites, observability, CI/CD for models, and security hardening. The full MLOps pipeline that turns a working POC into a reliable production feature.
Scale & Optimize
Model routing, caching, batch vs on-demand, provisioned throughput, and continuous cost optimization. Production AI that scales with your traffic and fits your budget.
Why Dcode
Why Dcode for AI.
AWS-native path first.
We default to Bedrock and AWS-hosted OSS before recommending 3rd-party stacks. No vendor lock-in bias.
DevOps + AI in one team.
Same engineers ship the feature and run it. No handoff between "AI consultants" and "ops engineers."
Funded where eligible.
AWS GenAI credits, POA, MAP-Modernize. We identify qualifying programs and claim them with you.
Evals over vibes.
Every deployment comes with measurable accuracy + cost + latency baselines. Not "it feels right."
AWS Funding
AWS Funding for AI Workloads.
Reference Architectures
Production AI Patterns on AWS.
Chatbot / Copilot
Bedrock + OpenSearch + Lambda + API Gateway + Cognito. Production-grade conversational AI with retrieval-augmented generation.
Document Intelligence
Textract + Bedrock + Step Functions. Automated document processing, extraction, and summarization at scale.
Have an AI Idea or a POC That Needs to Ship?
Model selection, data pipeline, evals, and the ops to keep it running - in one engagement.