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Own your AI. Cut costs.Keep control.
We help you deploy bespoke, open-weight AI models on your infrastructure—secure, fast, and measurably cost‑efficient.
Trusted by product, data, and security teams across regulated industries.
Cost per request
Forecastable and optimizable
Data security
Stays within your perimeter
API compatible
Zero‑drama migration
Quality tracking
Business KPIs that matter
Who We Help
Private LLM solutions tailored for every stakeholder in your organization
CTOs & Heads of AI
Lower total cost of ownership (TCO) and build durable capabilities you own.
Platform / SRE Teams
Battle-tested deployment patterns with observability, autoscaling, and SLOs.
Security & Compliance
Zero-retention options, KMS encryption, audit trails, and policy-as-code.
Product & Data Leaders
Task-fit model selection, RAG quality, and measurable business KPIs.
Everything you need to run bespoke AI models—end to end
Engage us for one service or the full stack. We design, build, fine‑tune, evaluate, and operate bespoke, open‑weight AI models tailored to your workloads—so you ship faster, cut unit costs, and keep data in your perimeter.
Data Engineering & Dataset Preparation
From raw text to clean, labeled, and privacy-safe datasets.
- •Deduplication, PII scrubbing, and normalization
- •Gold set creation for evals
- •RAG corpus curation & freshness policies
Model Selection & Hosting
Pick the right open-weight model and host it on your infra.
- •Llama/Mistral/Qwen/others with license checks
- •vLLM / TGI / TensorRT-LLM servers
- •OpenAI-compatible endpoints (chat, tools)
Fine-Tuning & Distillation
Lift accuracy on your tasks with efficient adapters.
- •LoRA/QLoRA, PEFT, instruction tuning
- •Safety and JSON-schema adherence
- •Reproducible training pipelines
Evaluation & Quality Assurance
Make "good" measurable and prevent regressions.
- •Task-specific metrics & gold sets
- •CI eval gates and dashboards
- •Hallucination & groundedness checks
RAG & Data Governance
High-precision retrieval without data leakage.
- •Chunking, embeddings, re-ranking
- •ACL-aware retrieval and lineage
- •Cited answers with confidence signals
Deployment, MLOps & SRE
Production-grade operations with SLOs and runbooks.
- •K8s, autoscaling, canary, blue/green
- •Observability (latency p50/p95), cost per token
- •Incident response and DR plans
Security, Compliance & Auditability
Controls mapped to your frameworks and audits.
- •SSO, least privilege, network isolation
- •KMS encryption, zero-retention options
- •Audit logs and policy-as-code
Training & Enablement
Up-skill your teams to own the stack.
- •Playbooks for product, data, SRE, and security
- •Prompt engineering and evals practice
- •Handover + office hours
Transparent economics, measurable wins
We help you model true cost per request and improve it over time.
Cost per 1K tokens
Amortized GPU, power/cooling, and ops hours
Throughput optimization
Batching, KV cache, and quantization
Hybrid burst capability
Scale to APIs when needed—without vendor lock-in
Know exactly what you're paying for
Unlike black-box API pricing, our TCO models give you complete visibility into:
- Real cost per token with infrastructure amortization
- Performance optimization opportunities
- Scaling thresholds and break-even points
Typical Cost Savings
Reduction in inference costs at scale
Frequently asked questions
Get answers to common questions about private LLM deployment
Still have questions? Let's discuss your specific needs.
Get My Free AssessmentFree Bespoke AI Assessment
Get a fit/anti-fit scorecard, TCO snapshot, and a reference path to pilot—no obligation.
What you'll get:
- Fit/anti-fit analysis for your use case
- TCO snapshot with potential savings
- Reference architecture recommendation
- Risk assessment and mitigation plan
Quick Process
We'll review your details and email you within 1–2 business days with your assessment and next steps.
Talk to our team
Ready to discuss your private LLM requirements? Get in touch with our experts.
Prefer a call? Add time via the scheduler above.
Ecosystem & tooling we work with
We're vendor-neutral. Here are common components we integrate:
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