AI Workflows that Deliver More

Pre-Execution AI Readiness That Cuts Latency, Cost & Load

Prompt- or backend-triggered requests often lead to high-cost, high-latency workloads—τLayer reveals and mitigates system load before execution.

45% Cost Reduction
3x Faster Responses

AI Execution is Blind to Downstream Impact

Prompt- or AI‑initiated workflows often launch tasks without assessing backend and infrastructure load—overlooking complexity, data size, and execution depth. The result: latency, cost spikes, infrastructure bottlenecks, and poor scalability.

Zero Latency Awareness

Prompts trigger LLMs and AI systems—unaware if the task takes 300ms or 15s.

No Cost Estimation

No visibility into token usage, compute demand, or task cost before execution.

Backend Overloads

Runaway queries risk overwhelming your infrastructure during peak hours.

Poor User Experience

Long wait times and unclear progress lead to user frustration and mistrust.

High Infrastructure Costs

Unbounded queries consume excessive resources

Unpredictable Performance

Users face inconsistent response times

Lost User Trust

Poor AI experience damages product credibility

Smart Solution

System-Aware Execution Starts Here

τLayer is an intelligent orchestration layer that brings system-awareness to AI/ML execution. By analyzing every request before it runs, it helps platforms reduce waste, improve responsiveness, and make smarter decisions across dynamic workloads.

45% Cost Reduction
3x Faster Responses
Zero Backend Overloads

Eliminate Latency

Predict query execution time and prevent slow operations before they start

Increase Engagement

Smart suggestions and real-time updates keep users engaged during processing

Smart Suggestions

Automatically recommend query optimizations during peak hours or for complex requests

Reduce Costs

Prevent expensive operations and optimize resource allocation automatically

Automate Reporting

Schedule reports for users who don't want to wait or wish to reschedule data insights

Resource Allocation

Intelligent inference resource allocation with user priority management

Complete Value Proposition

Transform your AI features from unpredictable cost centers
into efficient, user-friendly experiences

For Your Business

  • Reduce compute and data access costs by up to 45%
  • Prevent backend overloads and system timeouts
  • Unlock query-level visibility into model spend and performance

For Your Users

  • Faster, smarter, more scoped AI responses
  • Transparent latency expectations and progress
  • Proactive guidance—designed for responsive experiences
How It Works

Pre-Execution Request Orchestration & Optimization

τLayer analyzes each request via a real-time POST API call (<50ms)—evaluating complexity, latency, and cost before execution. If thresholds are met, it proceeds; if not, τLayer returns suggestions or clarification prompts. Execution metrics are logged to improve future predictions.

1

Request Input (UI or Backend Trigger)

A user or agent initiates a request from your app or workload

2

Pre-Execution Evaluation (τLayer)

Evaluated for complexity, latency, and cost —executes if viable, else returns guidance

3

Execution (Deployed in Your Stack)

Runs on your AI stack, outside τLayer

4

Post-Execution Feedback (τLayer)

Execution metrics (latency, token usage, peak hours) are logged to improve prediction and guidance

API Workflow Scenarios (UI & Agent)

Agent-Initiated Request

Optimizing queries triggered by agent workflows

POST
/api/predict
Predict API

Analyze query before execution

{
  "query": "Summarize churned users with high lifetime value",
  "user_id": "my2dog5is",
  "client_id": "acme_corp",
  "context": {
    "channel": "agentic AI",
    "request_timestamp": "2025-11-20T08:30:00Z",
    "request_priority": "medium",
    "file_attached": true,
    "file_metadata": {
      "type": "tabular",
      "size_mb": 8.3,
      "description": [
        "Tabular file with structured records and mixed data types",
        "High column count (40 fields)",
        "Estimated row volume 500K",
        "Multiple date/time fields"
      ]
    }
  }
}
200
Success
Response

Intelligent guidance

{
  "status": "query_optimization_available",
  "analysis": {
    "token_estimate": {
    "level": "high", "value": 12450
    },
    "latency": {
    "level": "medium", "predicted": "12s"
    },
    "execution_complexity": {
    "level": "medium",
    "reason": "2 joins","No filters applied", ...
    }
  },
  "suggestions": [
    "Apply date_range=<last_90_days> to reduce data scanned",
    "Limit SELECT fields to: churn_status, lifetime_value, date_joined",
    "Refine lifetime_value threshold threshold (e.g., >1000)"
    "Auto-schedule execution to 1:00am–4:00am off-peak window"
  ]
}
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User Prompt Optimization

Optimizing queries entered through UI workflows

POST
/api/predict
Predict API

AI agent query pre-analysis

{
  "query": "Show all transactions flagged as suspicious",
  "user_id": "johndoe_123",
  "client_id": "fintrack_inc",
  "context": {
    "channel": "User Prompt",
    "request_timestamp": "2025-11-20T14:22:10Z",
    "request_priority": "high",
    "device_type": "desktop",
    "session_id": "sess_4932adc8",
    "file_attached": false,
    "file_metadata": {
      "type": null,
      "size_mb": 0,
      "description": []
  }
}
200
Success
Response

Optimized execution plan

{
  "status": "query_review_recommended",
  "analysis": {
    "token_estimate": { "level": "medium", "value": 7400 },
    "latency": { "level": "high", "predicted": "21s" },
    "execution_complexity": {
      "level": "high",
      "reason": "No filters, 3 joins, large dataset scanned."
    }
  },
  "suggestions": [
  "[Info] Query scope is broad —",
  "[Suggest] Limit to the last 30 days.",
  "[Suggest] Apply region filter: SF, US.",
  "[Suggest] Filter by unusual amount."
]
}
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Intelligent Response Types

Safe to Execute

Request is optimized and ready to run

Smart Enhancer

Recommend limits, filters or scheduling

Clarify Intent

Help users and AI agents query efficiently

Platform Features

Complete AI Optimization Suite

Everything you need to transform your AI-powered features into efficient, cost-effective, and user-friendly experiences

Real-Time Query Analysis

Instant analysis of natural language queries with complexity scoring and resource prediction

Cost Protection

Prevent expensive operations with intelligent cost estimation and automatic query optimization

Latency Prediction

Accurate execution time estimates based on query complexity, data size, and current system load

Smart User Experience

Keep users engaged with progress updates, wait-time UX, and smart scheduling options

Priority Management

Intelligent user priority scoring with resource allocation based on subscription tiers

Analytics & Insights

Comprehensive insights into query patterns, cost savings, and performance improvements

Technical Excellence

< 50ms Response

Lightning-fast API responses that don't slow down your workflow

99.9% Uptime

Enterprise-grade reliability with global redundancy

Zero Data Access

No PII or sensitive data passes through our systems

Ready to Transform Your AI Features?

Stop Flying Blind with
LLM Operations

Join forward-thinking teams who've eliminated AI latency, reduced costs by 45%, and transformed user trust in their AI features.

No setup fees
30-day free trial
Cancel anytime
45%
Cost Reduction
3x
Faster Responses
99.9%
Uptime SLA