Cut Your LLM Token Overhead by 40% to 85%.

Intelligent Model Routing & Cascading

Up to 70% savings on routed volume

Stop paying frontier-model prices for formatting, classification, or routine data extraction. We build deterministic routing layers that evaluate prompt complexity in real time.

• Sub-cent routing: Routine classification, structured extraction, and tool dispatch route to lightning-fast small or distilled tiers.
• Frontier reasoning escalation: Only ambiguous reasoning, multi-step agent planning, and deep synthesis escalate to flagship frontier models.
• Automated fallback & zero downtime: Instant failover across alternative providers if a primary vendor encounters rate limits or service disruptions.

Dual-Tier Caching (Prompt & Semantic)

Up to 90% prefill savings on repeated context

Most enterprise applications pay full price to process identical system instructions, tool catalogs, and common questions thousands of times each day.

• Provider Prompt Caching: Leverage native context caching across frontier providers for static system prompts, large reference documentation, and tool definitions.
• Semantic Vector Caching: Redis/pgvector caching layer that identifies conceptually identical queries and returns cached responses with zero upstream model cost (and sub-50ms local cache retrieval latency).
• Dynamic TTL Management: Safe cache invalidation policies ensuring users never receive stale answers or out-of-date business data.

Context Pruning & Prompt Diets

30% – 50% token reduction per call

Bloated multi-turn chat histories and oversized RAG context chunks quietly inflate input token bills on every single interaction.

• RAG Context Compression: Algorithmic re-ranking and extractive pruning that strip redundant tokens before retrieved documents reach the LLM context window.
• Conversational Windowing: Dynamic rolling summaries instead of dumping uncompressed 50-turn chat histories into every query.
• Constrained Structured Output: Strict JSON schemas and grammar-constrained decoding that stop models from generating expensive conversational filler.

Hybrid Sovereign Migration (In-House vs. Agnostic)

Predictable unit economics at scale

For high-volume, repetitive enterprise workflows, paying per-token API markups is an unsustainable tax. We bring the right workloads in-house.

• Open-Weight Specialization: Fine-tuned or quantized open-weight architectures running on dedicated vLLM or private GPU clusters.
• Private VPC & On-Premise: Complete data sovereignty, eliminating compliance friction while flattening marginal cost curves to near-zero at high throughput.
• Hybrid Orchestration: Sovereign private compute for baseline steady-state volume, with burst capacity to public APIs for sudden demand spikes.