One platform, every leading model. We build AI solutions on Amazon Bedrock — Claude, Llama, Amazon’s own models and more, behind a single API inside your AWS account — with the security posture your infrastructure already enforces.
Bedrock gives you managed access to multiple frontier model families through one interface, governed by the same IAM, VPC, and monitoring you already run. Pick the best model per task today, and swap as the field evolves — without re-architecting.
Claude for reasoning, Llama for cost-sensitive volume, Amazon models for embeddings — mixed and matched in one architecture.
IAM policies, VPC endpoints, CloudWatch, KMS encryption — AI governed exactly like the rest of your AWS workloads.
Serverless model access without GPU ops — but with the architectural control that off-the-shelf AI tools can’t offer.
Route each step to the model that does it best and cheapest — quality where it counts, savings where it doesn’t.
RAG over your S3 documents and databases using Bedrock’s knowledge-base tooling, with citations.
Multi-step agents that call your APIs under policy controls, with content filtering and audit trails.
AI woven into Lambda, Step Functions, EventBridge, and the rest of the AWS architecture you run.
PrivateLink and VPC configurations for workloads where traffic must never touch the public internet.
High-volume extraction and classification pipelines processing straight from your S3 buckets.
Since 1999, we’ve built custom software for more than 1,700 clients. We bring that same engineering discipline to AI: fixed-fee proposals, AI-accelerated delivery, and solutions that are tested, supervised, and warrantied like any other software we ship.
Bedrock agents plus our workflow automation practice: routing, drafting, and follow-ups under your rules.
Pair Bedrock with our document extraction pipelines — invoices, forms, and contracts into clean data.
If you’re already on AWS, Bedrock means one security model, one bill, and many models — Claude, Llama, Amazon’s and others — behind a single API. You avoid per-vendor onboarding and keep the freedom to switch models as they improve.
No. Bedrock does not use your data to train base models, and prompts and outputs stay within your AWS account’s security boundary, encrypted with your keys.
Usually more than one. We benchmark candidates against your real tasks and route each workload to the model with the best quality-to-cost ratio — one of Bedrock’s biggest advantages.
No. A standard AWS account is enough to start; Bedrock is serverless, so there’s no GPU infrastructure to stand up. If you already run production workloads on AWS, so much the better — we integrate with them.
Fixed-fee for the build, with AWS consumption estimated up front. Multi-model routing typically lowers runtime costs materially versus a single-model design — we model it in the proposal.
Curious to see if we're a good fit? Schedule a call, and together, let's explore the possibilities
Once we understand your vision, the fun begins! Let's dive into a brainstorming session and craft the perfect solution to bring your ideas to life.
Our collaborative approach seamlessly blends the personal touch of weekly one-on-one meetings with the efficiency of online tools.
Our process is all about transparency and excellence. We incorporate testing at every stage, providing clients with direct access to evaluate progress.
Our commitment extends beyond project completion, ensuring your digital presence stays secure, efficient, and seamlessly supported over the long haul.
