Want AI capability without sending data to a third-party API? We build on Meta’s Llama — open-weight models that run in your cloud, your data center, or your VPC — for full control over data, cost, and customization.
Llama’s open-weight models can be deployed entirely inside your infrastructure: no data leaves your environment, no per-token vendor fees at scale, and full freedom to fine-tune on your own domain. For the right workloads, that changes the economics and the risk profile of AI.
Llama runs where you say — your VPC, your servers, even air-gapped environments — so sensitive data never leaves your control.
High-volume workloads run on fixed compute instead of metered tokens — costs you can budget, not usage bills that surprise you.
Open weights mean we can fine-tune on your terminology, formats, and rules — a model that speaks your business natively.
Internal assistants for sensitive operations — legal, HR, finance — where data must stay in-house.
Deployments designed around compliance constraints where third-party AI APIs are a non-starter.
Classification, extraction, and summarization at scale, where self-hosting beats per-token pricing.
Models trained on your documents and standards for accuracy generic APIs can’t match.
Smaller Llama models run on-premise or on-device for low-latency and disconnected scenarios.
Llama for sensitive or high-volume steps, frontier APIs for the hardest reasoning — the best of both.
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.
Our AI readiness assessment weighs privacy, volume, and cost to recommend the right platform mix for you.
We integrate Llama-powered features directly into your existing software — same discipline, your infrastructure.
Three reasons: data control (nothing leaves your environment), economics (high-volume workloads on fixed compute), and customization (fine-tuning on open weights). If those don’t matter for your use case, a hosted API may be simpler — we’ll tell you which fits.
Llama’s community license permits commercial use for the vast majority of businesses at no license cost. You pay for the compute it runs on — which we size and budget in the proposal.
Anywhere: your AWS/Azure/GCP account, your own servers, or managed GPU providers. We design the deployment around your security requirements and expected volume.
Frontier hosted models still lead on the hardest reasoning tasks. But for well-defined business workloads — especially after fine-tuning — Llama is often more than capable, and hybrid architectures let you use both where each is strongest.
Fixed-fee for the build, plus infrastructure costs we estimate up front. For high-volume workloads, total cost of ownership frequently beats metered APIs — we model it before you commit.
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.
