Pick any model.
Switch any time.
Provider-agnostic LLM gateways, RAG systems, fine-tuning, and cost engineering across GPT, Claude, Llama, and Mistral - built to swap models as the frontier moves.
All the major frontier and open-weight models.
Beyond just calling an API.
Production LLMs need routing, caching, evals, guardrails, and cost tooling. We ship all of it.
Provider-Agnostic Gateway
One unified API across OpenAI, Anthropic, Google, Mistral, and self-hosted models. Swap providers per request, fall back on outage, A/B by user.
- Unified completion API
- Smart routing
- Automatic failover
Cost & Latency Engineering
Semantic caching, prompt compression, batching, and tiered model routing - typical 50–70% bill reduction.
- Semantic cache
- Tiered routing
- Token compression
RAG Architecture
Hybrid retrieval, smart chunking, re-rankers, and grounded answers with citations. Built on Pinecone, Weaviate, pgvector, or Qdrant.
- Hybrid retrieval
- Cross-encoder rerank
- Citation-first prompts
Fine-tuning & Distillation
LoRA, QLoRA, and full fine-tunes when prompting hits a quality wall. Distill GPT-4 quality into a 7B model your team can self-host.
- LoRA / QLoRA
- Distillation pipelines
- Eval-driven iteration
Guardrails & Compliance
PII redaction, jailbreak detection, output schema validation, and SOC 2 / HIPAA-aligned data handling. The boring work that keeps you out of the news.
- PII redaction
- Schema enforcement
- Audit logging
Self-Hosted & Private
On-prem and VPC deployments of Llama, Mistral, and Qwen - when data residency, cost, or sovereignty rules out hosted APIs.
- vLLM / TGI serving
- GPU autoscaling
- Air-gapped deployments
We help you pick the right one.
Hosted API (OpenAI / Anthropic)
Best quality needed, low/medium volume, no data residency rules.
- Top-tier quality
- Zero infra
- Fast iteration
- Per-token costs scale
- Provider lock-in
- Data leaves your VPC
Self-hosted open-weight
High volume, data residency, or cost-sensitive workloads.
- Predictable cost
- Data stays in VPC
- Customizable
- GPU ops overhead
- Quality gap on hardest tasks
- Slower iteration
Engineering, not alchemy.
Eval-driven, not vibe-driven
Every prompt change runs through a versioned eval suite. We don't ship 'feels better' - we ship measured improvements.
Cost is a feature
Token-level cost tracking, model-tier routing, and aggressive caching from day one. Bills don't surprise you.
Data hygiene first
PII detected and redacted before it leaves your infra. Zero-retention modes where providers offer them. SOC 2-ready logging.
Right-sized models
Big models for hard tasks, small ones for easy. Most workflows route 80% of traffic to a model 10× cheaper than the 'default'.
Models, vector stores, and infra.
Stop being locked into one model.
Book a 30-minute LLM strategy review. We'll audit your current usage, project costs at scale, and identify the top 3 changes that cut spend without hurting quality.