Building RAG Systems That Don't Hallucinate
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.
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AI · Data Centers · DevSecOps
Intelligent infrastructure
Intelligent infrastructure
for the AI era
8purple builds and operates the stack beneath modern products — from GPU clusters and hybrid clouds to LLM pipelines and the software your customers touch.
Trusted to run production AI & compute
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Platform uptime
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Workloads in production
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Engineering disciplines
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Operated & monitored
The stack we design, build and run on
KubernetesNVIDIA GPUPostgreSQLTerraformPythonRustNetlifyGhostCloudflareLonghorncert-managerGitHub ActionsvLLMRedispgvectorKubernetesNVIDIA GPUPostgreSQLTerraformPythonRustNetlifyGhostCloudflareLonghorncert-managerGitHub ActionsvLLMRedispgvector
Services
Everything between the rack and the product
Six disciplines, one team — so the hand-offs that usually burn months simply don’t exist.
Applied AI & LLM Solutions
Retrieval pipelines, copilots and agentic automation built on your data — with evaluation harnesses, not vibes.
Data Center & GPU Infrastructure
High-density compute: power, liquid cooling, networking and capacity planning.
Software Development
Product engineering with trunk-based development, preview environments and CI that fails fast.
Blockchain Engineering
Settlement rails, tokenized assets and verifiable provenance — where a shared ledger earns its cost.
DevSecOps & Platform
Paved-road pipelines: secret scanning, dependency audits, least-privilege deploys, reproducible builds.
Cloud & Hybrid Operations
Own the baseline, rent the burst. Kubernetes-first workloads that run the same on metal and in the cloud.
How we work
From assessment to operations
A short, reversible path from idea to a system you can rely on.
01
Assess
We map your workloads, data and constraints, then pick the smallest architecture that does the job.
02
Build
Short iterations behind a CI/CD pipeline — every change tested, previewed and reversible.
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Operate
We run what we ship: monitoring, SLOs, capacity and cost reviews — or hand over a paved road to your team.
Outcomes
What teams say after we ship
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8purple took us from a clever prototype to a system our customers actually rely on. The evaluation harness alone saved us months.
Fintech scale-up
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They embedded with our team, brought the platform and the practices, and left us owning it. Exactly the hand-off we wanted.
Healthtech
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Our GPU bill dropped by a third without touching model quality. Utilisation, batching and the right hardware — no magic, just rigor.
AI platform
Engagements
Start small, scale when it works
Three ways to work with us — escalate only when the previous step has earned it.
Assess
Fixed price / 1–2 weeks
A concrete architecture and roadmap you can execute with or without us.
- Workload & data mapping
- Architecture proposal
- Cost & risk analysis
- Actionable roadmap
Most chosen
Build
Engagement / per sprint
We design and ship the system behind a CI/CD pipeline — tested, previewed, reversible.
- Everything in Assess
- Applied AI / platform build
- Preview environments & CI
- Evaluation & observability
- Embedded with your team
Operate
Retainer / monthly
We run what we ship — or hand over a paved road and keep it healthy.
- Everything in Build
- Monitoring, SLOs & on-call
- Capacity & cost reviews
- Security & dependency audits
Blog
Field notes on AI & infrastructure
The craft of shipping intelligent systems — written by the people who run them.
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Vector Databases, Explained Without the Hype
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.
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FAQ
Frequently asked questions
What does 8purple actually do?
We design, build and operate intelligent infrastructure: AI products, GPU compute, cloud and hybrid platforms, and the software on top of them.
Do you work with existing teams?
Yes. Most engagements embed with your engineers — we bring the platform and practices, your team keeps the ownership and knowledge.
Can you host workloads on-premises?
We run hybrid setups daily: steady-state services on owned hardware, burst and edge traffic in the cloud, one set of manifests for both.
How do projects start?
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.
How do you keep AI features trustworthy?
Evaluation before features: golden datasets, faithfulness checks, citations on every answer, and monitoring that catches drift before users do.
Have a workload in mind?
Tell us what you’re building — we’ll reply with an honest take on the smallest thing that could work.