Use less AI.Get the same work done.
Reduce unnecessary AI API usage before every model call. Coherence optimizes the request path while preserving context when quality needs it.
Lower AI cost
Remove unnecessary usage before the model call
Preserve quality
Keep what the task still needs
Extra AI protection
An additional Coherence protection layer beyond a plain direct model call
before
111,627
provider-reported tokens
after
26,577
provider-reported tokens
76.2%
provider-measured A/B
Provider-reported reduction
85,050 tokens
Matched OpenAI A/B
76.2%
Marker checks
8/8
Maximum Savings + Balanced
Wider efficiency stack — rotating capability areas
1/8Context efficiency
Reduces unnecessary context while preserving what the task needs.
Context
multi-layer efficiency area
20+
efficiency capabilities
Multi
layer optimization
Smart
selective activation
Primary visual: controlled provider-measured matched A/B validation across 8 predefined synthetic cases and 32 OpenAI gpt-4o-mini calls: 111,627 → 26,577 provider-reported total tokens with Maximum Savings (76.2% reduction). Balanced measured the same reduction; Protection First intentionally retained essentially the full baseline context. Not a production average or guarantee. Separate evidence: 86.1% deterministic stress-test reduction and ~46–58% broader internal quality-adjusted synthetic benchmark.
Works with your AI providers
Same provider. Same model. Fewer measured tokens.
In a controlled matched A/B validation, eight predefined synthetic cases were run through the same OpenAI gpt-4o-mini model. Provider-reported token usage is shown separately from our deterministic stress-test estimates.
A/B baseline
111,627
provider-reported total tokens
Maximum Savings
26,577
provider-reported total tokens
Measured reduction
76.2%
8 cases · 32 provider calls
Provider-measured A/B: 76.2% lower total token use for Maximum Savings and Balanced in this controlled workload. Marker checks: 8/8 for both.
Validation stress test: 86.1% deterministic whole-chain input-context reduction in a deliberately constructed multi-layer workload.
Broader internal benchmark: ~46–58% lower quality-adjusted token use vs a naive baseline across 480 predefined synthetic cases.
Scope: controlled synthetic validation, not a production average or savings guarantee. Protection First intentionally retained essentially the full baseline context in this A/B run. Provider cost/invoice savings are not claimed from this result.
Not the fewest tokens. The best passing result.
Coherence is designed around a simple rule: meet the required quality and protection level first, then remove unnecessary AI usage. More protection can intentionally mean less token reduction.
Controlled strategy comparison
same OpenAI provider · same gpt-4o-mini model · provider-reported tokens
| Mode | Measured tokens | Reduction | Marker checks | Protection posture |
|---|---|---|---|---|
Baseline | 111,627 | — | 7/8 | Reference |
Maximum Savings | 26,577 | 76.2% | 8/8 | Core protection |
Balancedrecommended | 26,577 | 76.2% | 8/8 | Enhanced |
Protection First | 111,625 | ~0% | 7/8 | Highest |
What the test shows
Maximum Savings and Balanced used 76.2% fewer provider-reported total tokens and passed 8/8 marker checks in this controlled workload.
Why Protection First is different
It intentionally retained essentially the full baseline context. Lower savings here are expected behavior, not an optimizer failure.
Controlled synthetic validation · not a production average or guarantee · marker checks are task-specific validation checks, not a universal model-quality score.
See the test behind the claim - including what the test does not prove.
The strongest current evidence is a matched provider-measured A/B run on the same OpenAI model. A separate customer-style API-key stress test shows how multiple efficiency layers can activate together. We keep the two evidence classes visibly separate.
Provider-measured controlled A/B
8 predefined synthetic cases · 32 OpenAI calls · same gpt-4o-mini model
Baseline
111,627
provider-reported total tokens
Maximum / Balanced
26,577
provider-reported total tokens
Reduction in this A/B
76.2%
controlled validation · not average
Marker checks: Maximum Savings 8/8 · Balanced 8/8.
Full-context comparison: Baseline 7/8 · Protection First 7/8.
Protection: credential guard, high-risk preservation and document boundary checks passed.
Protection First measured 0.0% token reduction here because it intentionally retained essentially the complete baseline context. Provider-reported token usage is measured; no provider-cost or production-average claim is made from this run.
Interactive validation view
Explore the same evidence before downloading the PDF.
86.1%
estimated reduction
Animated comparison of the deterministic before/after context estimate for this validation workload. It is not a production average.
before
27,853
input tokens est.
after
3,865
input tokens est.
validation result
86.1%
stress case - not average
The interactive view above this line is the separate deterministic customer-key stress test. The provider-measured A/B card is based on real OpenAI-reported token usage. Neither is presented as an average customer result or guarantee.
Validation Test Evidence
CTO-VAL-2026-09-04-002
Enter your email to unlock the customer-safe PDF. It includes the provider-measured matched A/B run, the deployed customer-key stress test, protection/preservation checks, limitations and the next proof step.
Your AI app is sending more than it needs.
Long histories, repeated instructions, oversized outputs and inefficient routing quietly inflate API usage. Token Optimizer targets that waste in the request path itself.
AI SaaS teams
Recurring LLM traffic inside a product, billed on every call your users trigger.
AI agencies
Multiple client workloads and provider bills to keep predictable across accounts.
Internal AI teams
Operational AI workloads that need cost visibility leadership can actually read.
Keep the models you use. Put Coherence in front.
Your app keeps using its AI providers. Coherence optimizes the request and adds an extra protection layer before the model call. Token savings do not switch that protection off.
request
optimize · route · attribute
model call
Connect a provider
Use your existing provider account. Credentials stay server-side and are never shown again after saving.
Use one Coherence key
Point your AI traffic at the Token Optimizer gateway with a single cto_live_ key.
See the first optimized request
Your dashboard shows baseline estimate, optimized payload, provider usage and savings attribution.
Multiple ways to remove waste — one visible result.
Coherence uses a wider library of 20+ efficiency capabilities. Each request is assessed across the relevant efficiency areas and only the controls that can help are activated. The goal is not to run everything blindly — it is to apply the best combination while protecting quality and the request path.
Context & history
Reduces older conversation context when the minimum-context policy can do so safely.
Duplicate instructions
Removes repeated system instructions before the provider call.
Prompt cleanup
Normalizes redundant formatting while preserving code blocks and high-risk context.
Output budget
Caps oversized output budgets for naturally bounded tasks when safety allows it.
Cost-aware routing
Supports balanced and cost-first routing across connected providers. Routing advantage stays separate from token savings.
Savings attribution
Separates deterministic estimates, actual provider usage and matched measurements instead of blending them.
20+ efficiency capabilities. One orchestrated stack.
The standalone Token Optimizer exposes a focused subset directly in its API path. Behind it sits a wider Coherence efficiency stack. Publicly we show the capability areas and results — the internal decision logic remains private.
20+
capability library
Always
request assessed
Only
useful controls activated
Context efficiency
Reduces unnecessary context while preserving what the task needs.
Memory efficiency
Keeps useful memory accessible without loading everything every time.
Payload efficiency
Keeps request payloads compact and avoids needless repetition.
Reuse & caching
Reuses stable work where it is valid instead of paying for it again.
Output efficiency
Controls unnecessary output spend while protecting useful answers.
Routing efficiency
Uses connected providers and routes more efficiently when policy allows.
Reasoning efficiency
Avoids unnecessary model work when a simpler safe path is sufficient.
Retrieval & agent efficiency
Coordinates retrieval, tools and agent work with less overhead.
Public capability map: the wider efficiency library is summarized into broad areas here. Coherence assesses each request for relevant optimization opportunities and selectively activates useful controls. Internal thresholds, sequencing, decision rules, scoring and implementation details are intentionally not exposed.
Start with the APINot another prompt compressor.
A token efficiency layer for the entire AI request.
A local saver can remove noisy context. A prompt compressor can shrink text. Coherence sits in the live request path, applies multiple optimization controls, can route between connected providers and records the result in one dashboard.
How the product category differs
Typical capabilities only; individual competing products differ.
| Capability | Local saver | Prompt compressor | Coherence |
|---|---|---|---|
| Prompt / context cleanup | Often | Yes | Yes |
| Conversation history reduction | Sometimes | Often | Yes |
| Adaptive output budget | Rare | Sometimes | Yes |
| Provider / model routing | No | No | Yes |
| Cost-first provider selection | No | No | Yes |
| Provider fallback | No | No | Yes |
| BYOK multi-provider gateway | No | Sometimes | Yes |
| Per-request savings attribution | Limited | Limited | Yes |
| Persistent customer dashboard | Rare | Rare | Yes |
| Estimated vs provider-measured separated | Varies | Varies | Yes |
| Safety-aware context preservation | Varies | Varies | Yes |
Get to the first optimized request fast.
The onboarding path is deliberately short: account → provider → Coherence key → first request → visible result.
We show what kind of evidence each number is.
Deterministic estimate
What the optimizer removed before the provider call.
Provider measured
What the connected provider reports for actual usage.
Matched measurement
Comparable baseline vs optimized runs when available.
No blended “magic savings %”. Measurement classes remain separate so customers can see what is estimated and what is measured.
Pay for the optimizer. Keep your provider account.
Provider usage stays on your own provider account. Coherence charges a fixed monthly platform price based on request volume.
Free Trial
14 days to prove the fit
1,000 requests
Starter
For small AI workloads
25,000 requests / month
Pro
For growing AI products
150,000 requests / month
Business
For larger production traffic
750,000 requests / month
Questions before you route traffic through us.
Do I have to change AI provider?+
No. Coherence is designed to sit in front of the providers you already use. You connect your own provider account and keep provider billing separate.
Do you resell or mark up model tokens?+
No. Your AI provider bills its own usage. Coherence charges for the optimization layer.
Does every request get compressed?+
No. Quality comes first. High-risk, verifier-required and non-text requests can preserve context and output budget when that is safer.
How do I know the savings are real?+
The dashboard keeps deterministic estimates, provider-reported usage and matched measurements separate. We do not blend them into one unexplained percentage.
Who is this built for?+
AI products, agencies and internal AI teams with recurring API traffic. It is not primarily aimed at casual ChatGPT users.
What happens after the free trial?+
Choose a monthly plan that matches your request volume. Your provider account remains yours, and your provider costs remain separate.
See what your AI requests are wasting.
Start with 1,000 free requests. Keep your providers. Let Coherence show what it can remove, what it preserves and where the savings came from.
14-day trial · no card required · BYOK · no provider markup