Langsmart - Intelligent AI Pipelines

Smartflow for Data Centers

Boost AI capacity without adding power.

AI demand is growing faster than megawatts. Smartflow lets data centers and cloud operators squeeze more useful work out of every watt by optimizing traffic at the customer edge before it ever touches a GPU.

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AI demand is rising. Power isn't.

GPU clusters are at full tilt. Grids are tapped. Lead times for new megawatts stretch into years. Meanwhile customers push larger models, longer prompts, and spikier traffic. The result: bottlenecks, waste, and capex pressure.

Smartflow attacks the problem upstream, shaping and optimizing inference traffic before it hits your compute layer.

More effective capacity

Deferral of new power draw

Cost-Smart Routing

Lower compute cycles

Reduced energy and water intensity

guaranteed qos

What Smartflow does

Our on-premise AI firewall + control plane that enforces policy, optimizes cost, and proves ROI.

Edge optimizations for AI workloads

Smartflow runs as an on-premises gateway inside customer VPCs or colo cages, inspecting traffic and applying intelligent controls so clusters only receive high-value, deduped, policy-clean requests.

Token-level reduction via caching and deduplication

Backend efficiency routing (including on-prem/open models when viable)

Suppression of waste from prompt-injection, data leakage, or malformed payloads

Workload tiering for best-effort vs. premium traffic

Cost/latency SLA shaping at the edge

More throughput without more megawatts

Higher utilization of existing GPU assets

Deferred capex for power, cooling, racks, and transformers

Flattened peaks & absorbed bursts through upstream traffic smoothing

Predictable capacity planning instead of chaotic demand spikes

A differentiated “AI efficiency” SKU for enterprise customers

Alignment with ESG commitments by lowering energy and water intensity

Faster, cheaper, cleaner inference

Lower latency and more stable QoS

Reduced spend through token reduction

Safer payloads with inline inspection

Multi-vendor routing flexibility

Less vendor lock-in and more resilient supply

Predictable unit economics across workflows

Architecture At A Glance

The efficiency layer in front of your GPUs

Customer Apps / Services / SDKs

• Connect remotely and implement seamlessly

Connect remotely and implement seamlessly

Smartflow Edge Gateway (On-Prem)

• Runs inside customer VPC / colo cage

Runs inside customer VPC / colo cage

Inspection & Hygiene Layer

• Payload validation • Prompt-injection suppression • Data leakage prevention

Payload validation
Prompt-injection suppression
Data leakage prevention

Token Optimization

• Deduplication • Caching of repeated patterns • Reduction of unnecessary token volume

Deduplication
Caching of repeated patterns
Reduction of unnecessary token volume

Routing & Tiering Engine

• Efficient-backend routing • On-prem/open model fallback • Best-effort vs. premium tiers • Latency & cost-aware steering

Efficient-backend routing
On-prem/open model fallback
Best-effort vs. premium tiers
Latency & cost-aware steering

Inference Clusters

• GPU pods • TPU pools • On-prem or hybrid backends

GPU pods
TPU pools
On-prem or hybrid backends

Logging, QoS & Utilization Metrics

• SLA tracking • Energy & water intensity reporting • Capacity planning insights

SLA tracking
Energy & water intensity reporting
Capacity planning insights

The cheapest GPU cycle is the one you don't have to burn.

AI waste hides in the margins: repeated calls, overlong prompts, malformed payloads, redundant logic, low-value experiments, and cascades from injection attacks.

Optimizing the flow before it reaches the expensive part of your stack saves energy, water, and money while preserving performance.

Fewer tokens per job

Smaller spikes per customer

Lower load per cluster

Cleaner payload quality

Better resource distribution

Efficiency is sustainability.

AI workloads are pushing water and power usage to the edge of what grids and cooling systems can support. Smartflow gives operators a credible, measurable way to reduce intensity without sacrificing speed or customer satisfaction.