COGNIWARE INFERENCE PLATFORM
Get more production inference from every GPU.
The Cogniware Inference Platform gives enterprise AI teams one control plane to govern, route, secure, measure, and optimize inference across models, inference engines, and GPU fleets – while preserving engine-native execution. Improve SLO-compliant goodput, throughput, time to first token, and end-to-end latency.
INTELLIGENT CONTROL AND OPTIMIZATION. SUPERIOR PERFORMANCE.
One inference control plane for enterprise AI ops.
Cogniware sits between enterprise AI applications and your chosen compute architecture. It provides a consistent control layer for routing, policy, security, reliability, observability, and performance optimization.
MORE USABLE INFERENCE
More output from the infrastructure you already have.
Inference efficiency is not just a throughput number. What matters is how much useful work the system completes inside the latency, reliability, and quality targets your applications require.
INDEPENDENT PERFORMANCE TESTING
See how Cogniware performs at scale.
Independent benchmarking from Artificial Analysis shows that Cogniware not only enables higher peak throughput than vLLM, but also higher sustained throughput with low median time to first token, higher response-rate stability, and better behavior when systems are pushed toward real scale.
PERFORMANCE OPTIMIZATION
Optimized performance for your unique AI workloads.
Cogniware’s patent-pending performance modules improve goodput, throughput, time to first token, and end-to-end latency through intelligent routing, memory and cache management, compression, and engine-aware optimization.
BUILT FOR PRODUCTION OPERATIONS
The enterprise control plane for AI ops.
Cogniware pairs performance optimization with the controls enterprise teams need to run inference as a production service.
FIT THE STACK YOU HAVE
Model, hardware, and deployment choice—without platform lock-in.
CHOOSE YOUR MODEL
Run any open weight model—or bring your own.
Fine-tune and govern the models your business needs.
META
MISTRAL
OPENAI
QWEN
DEEPSEEK
RUN ON ANY HARDWARE
Use the compute architecture that fits your workload.
Cogniware enables compute platform independence across CUDA, x86, x64, Stream, and Tensor Core processors.
NVIDIA
INTEL
AMD
QUALCOMM
Deploy anywhere.
ENTERPRISE USE CASES
A consistent inference layer across your production workloads .
EVIDENCE-GATED ROLLOUT
Deploy higher performance inference with confidence.
Advanced Cogniware features can be disabled, run in shadow mode, introduced to a bounded canary population, and promoted only after performance and SLO evidence supports the change.
01
OFF
Disabled. No end-user impact.
02
SHADOW
Observe decisions without changing outcomes.
03
CANARY
Use a bounded rollout with explicit scope and gates.
04
ENFORCE
Broaden activation after evidence and SLO review.
05
ROLLBACK
Use a kill switch and safe fallback when needed.
ROLLBACK REMAINS AVAILABLE AT EVERY ACTIVE STAGE
BENCHMARK FIRST
Guaranteed performance benefits out of the gate.
Before we go live, we measure performance against your existing infrastructure and prove the benefit.
01
Baseline
Establish the baseline performance of your existing inference environment.
02
Activate platform
Deploy Cogniware with safe defaults, integrations, and matched configuration.
03
Validate metrics
Compare goodput, TTFT, latency, success, quality, and cost against baseline.
04
Promote with evidence
Broaden rollout only after performance, SLO, quality, and rollback gates pass.
READY TO TEST IT?
See what your inference stack can do with Cogniware in front of it.
Start with the workloads, models, engines, and hardware that matter to you. Establish the baseline, measure the change, and broaden deployment only when the results justify it.
