Applied AI & LLM Solutions
Retrieval pipelines, copilots and agentic automation built on your data — with evaluation harnesses, not vibes.
8purple builds and operates the stack beneath modern products — from GPU clusters and hybrid clouds to LLM pipelines and the software your customers touch.
Six disciplines, one team — so the hand-offs that usually burn months simply don’t exist.
Retrieval pipelines, copilots and agentic automation built on your data — with evaluation harnesses, not vibes.
High-density compute: power, liquid cooling, networking and capacity planning.
Product engineering with trunk-based development, preview environments and CI that fails fast.
Settlement rails, tokenized assets and verifiable provenance — where a shared ledger earns its cost.
Paved-road pipelines: secret scanning, dependency audits, least-privilege deploys, reproducible builds.
Own the baseline, rent the burst. Kubernetes-first workloads that run the same on metal and in the cloud.
A short, reversible path from idea to a system you can rely on.
We map your workloads, data and constraints, then pick the smallest architecture that does the job.
Short iterations behind a CI/CD pipeline — every change tested, previewed and reversible.
We run what we ship: monitoring, SLOs, capacity and cost reviews — or hand over a paved road to your team.
“8purple took us from a clever prototype to a system our customers actually rely on. The evaluation harness alone saved us months.”
— Engineering Lead, Fintech scale-up
“They embedded with our team, brought the platform and the practices, and left us owning it. Exactly the hand-off we wanted.”
— CTO, Healthtech
“Our GPU bill dropped by a third without touching model quality. Utilisation, batching and the right hardware — no magic, just rigor.”
— Head of Data, AI platform
Three ways to work with us — escalate only when the previous step has earned it.
A concrete architecture and roadmap you can execute with or without us.
We design and ship the system behind a CI/CD pipeline — tested, previewed, reversible.
We run what we ship — or hand over a paved road and keep it healthy.
We design, build and operate intelligent infrastructure: AI products, GPU compute, cloud and hybrid platforms, and the software on top of them.
Yes. Most engagements embed with your engineers — we bring the platform and practices, your team keeps the ownership and knowledge.
We run hybrid setups daily: steady-state services on owned hardware, burst and edge traffic in the cloud, one set of manifests for both.
With a short assessment — one to two weeks, a fixed price, and a concrete architecture plus a roadmap you can execute with or without us.
Evaluation before features: golden datasets, faithfulness checks, citations on every answer, and monitoring that catches drift before users do.
Tired of babysitting GPUs and dashboards every time you ship a model? This guide shows how to turn experiments into reliable AI services using managed platforms, smart LLM runtimes, and ML-aware CI/CD. Ship faster, spend less time on clusters, and keep your team focused on users.
Retrieval-augmented generation is easy to demo and hard to trust. Here is what separates a toy from a system you can put in front of customers.
Agent demos run a perfect path once. Production agents face the other 200 paths. Here is how to design for the ones the demo never showed.
Do you need a dedicated vector database, or is your existing one enough? A practical look at what these systems actually do and when they earn their keep.
Fine-tuning feels like the serious option. Most of the time it is the expensive answer to a question prompting already solved. Here is how to tell them apart.
You cannot ship what you cannot measure. Evaluating generative systems is harder than traditional software testing — and skipping it is how good demos become bad products.
Tell us what you’re building — we’ll reply with an honest take on the smallest thing that could work.