Services
Your AI pipeline is spending 3-5x more than it needs to.
We audit your full LLM cost stack, identify every source of waste, and implement fixes. 10 techniques that compound to 70-90% savings. Every number measured on your data.
The Full Stack
10 techniques that compound multiplicatively
Most tools optimize one layer. We diagnose which layers matter for your pipeline and implement the full stack.
Prompt Caching
Restructure prompts for provider-native caching. 90% savings on cached tokens (Anthropic), 50% (OpenAI). Most teams leave this unconfigured.
Wire Format Compression
GCF encodes structured data with 61-71% fewer tokens than JSON. Drop-in proxy for zero-code adoption, or native integration for session dedup.
Model Routing
Route simple tasks to cheap models, complex tasks to expensive ones. 50-80% cost reduction depending on your query mix.
RAG Optimization
Rerank before injection, tune chunk sizes, encode retrieval results. Most teams retrieve 10-20 chunks when 3-5 would suffice.
Batch API
50% discount on any workload that can tolerate 24-hour latency. Classification, extraction, content generation. Free money.
Agent Loop Optimization
Batch tool calls, progressive disclosure, reasoning effort control. Reduce 15 tool calls to 5 with better tool design.
Session Deduplication
Track what data the model has already seen. GCF session dedup makes call five 92% smaller than call one.
Prompt Engineering
Stable prefix design for cache hits, system prompt compression, instruction dedup, few-shot pruning. 30-50% savings from a one-time audit.
Semantic Caching
Cache responses for semantically similar queries. 100% savings on cache hits. GPTCache, Upstash, or custom.
Output Compression
Control reasoning effort via provider APIs (30-70% fewer output tokens). Structured output constraints. Response format optimization.
Multiplicative, not additive
How the savings compound
Base cost: $1.00 per session
Your current cost with no optimization. JSON payloads, no caching, one model, full context on every call.
After prompt caching: $0.40
60% of your tokens are the cached prefix (system prompt, tool schemas). Anthropic charges 10% on cached tokens.
After wire format compression: $0.16
GCF reduces the remaining structured data by 61%. Tool responses, RAG results, batch payloads.
After model routing: $0.05
70% of calls routed to a model that costs 80% less. Same quality on simple tasks.
After batch API: $0.03
Async workloads moved to batch processing at 50% discount. Your optimized cost per session.
Engagement Model
Start with a demo. Go as deep as the savings justify.
Free Demo (30 min)
We run gcf-proxy against one of your MCP servers, live, on your data. You see per-call token savings in real time. Walk away with a number. Zero commitment.
Token Cost Audit
Full pipeline analysis across all 10 techniques. We instrument your pipeline, measure token flow, and deliver a report with per-source savings, prioritized roadmap, and 12-month cost projection.
Implementation
We deploy the optimizations from the audit. Prompt restructuring, proxy deployment, model routing, RAG reranking, agent loop redesign. Measured before/after on every change.
Native GCF Integration
For teams that want maximum savings. GCF library integrated into your serialization layer, session dedup and delta encoding across agent loops, conformance tests against your data. Unlocks 92%+ savings on multi-turn sessions.
Why Blackwell Systems
Nobody else has this expertise
Built the format
GCF is our format. Six implementations, formal spec, 33 billion+ lossless round-trips across 5 formats and 6 languages.
Proved it works
1,700+ LLM evaluations across 10+ models and 3 providers. 100% comprehension accuracy on every frontier model. Published methodology, published logs.
Vendor-neutral
We recommend prompt caching, model routing, RAG optimization, and batch APIs even though we don't sell those. The audit is about your savings, not our tools.
Ready to see your savings?
30 minutes. Your data. Real numbers. No commitment.