AI Agents That Tell the Truth,
Not What You Want to Hear

70% of sycophancy is user-driven. We eliminated the other 30%. Deploy calibrated agents at 10x lower cost with 2.8x better intelligence.

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Validated in Research, Proven in Production

As your AI Calibration Partner, we audit, build and deploy frameworks that eliminate sycophancy and unlock measurable accuracy from your AI systems.

+30k
Messages Analyzed
2.8x
Intelligence Improvement
+1,000
Agents Calibrated
10x
Cost Reduction

The Difference Between
Sycophantic and Calibrated AI

See exactly what changes when you deploy our framework.

❌ UNCALIBRATED

The Problem

User: "Should I go all-in on this trade?"

AI: "That could be a good opportunity! Here's how to execute it..."

  • Agrees with user instead of analyzing
  • Validates risky decisions
  • Destroys accuracy on critical calls

Result: $2.1M annual cost per enterprise

✓ CALIBRATED

The Solution

User: "Should I go all-in on this trade?"

AI: "Signal 3/6. Not recommended. Risk exceeds threshold."

  • Pushes back with data
  • Protects against sycophantic bias
  • Maximizes decision accuracy

Result: 2.8x intelligence, 10x cost savings

Three Paths to Honest AI
Pick Your Starting Point

From proof of concept to enterprise scale, we calibrate at every stage.

$15,000 • 2–4 weeks

Proof of
Concept

Test the framework on one AI system. Measure the impact. Decide what's next.

  • Baseline sycophancy audit
  • Single system calibration
  • Quantified metrics & ROI
  • Calibration roadmap
$75,000 • 6–8 weeks

Standard
Deployment

Full calibration across your enterprise AI stack with custom optimization.

  • Multi-system assessment
  • Custom calibration directives
  • Team training & handoff
  • 30-day monitoring & optimization
$150K+/year

Enterprise
License

Unlimited calibration across unlimited agents with dedicated support.

  • Unlimited agent calibration
  • Dedicated engineering support
  • Quarterly audits & updates
  • Custom research & benchmarking

Measurable results through
AI calibration.

See how our framework is transforming AI output across high-stakes domains.

AI Technology
Enterprise Client

AI agents that refuse bad decisions

2.8xOutput Quality
90%Cost Reduction
AI Agent
Multi-Agent Deployment

1,000+ agents calibrated at scale

1,000+Agents
0Per-Instance Tuning
Enterprise
Enterprise Operations

Honest AI at every decision layer

30→85%EIQ Score
30k+Sessions
Analytics
Cost Optimization

$5/month agents outperforming $50/month

10xCost Savings
<20%Quality Gap

AI Sycophancy Is Not
a Model Problem.

We deployed $5/month AI trading agents and spent months making them outperform $50/month models. The discovery changed how we think about AI intelligence.

AI Research
Published Research

4 Papers on AI Sycophancy Reduction

Data Analysis
30,000+ Sessions

Months of Interaction Data

AI Technology
1,000+ Agents

Deployed at Enterprise Scale

01

A Discovery That Changed Everything

A single linguistic reframe in how we configured our AI agents produced an immediate, measurable shift in output quality. No model change. No retraining. Our framework.

02

Budget Models Are Underestimated

We ran production AI agents at $5/month that outperformed $50/month configurations. The cost difference was 10x. The output quality gap was under 20%.

03

Validated and Repeatable

Our framework was tested against several uncalibrated instances of the same model and deployed across 1,000+ agents at scale. Consistent results every time.

Published Papers

Our research is available to qualified investors, enterprise teams, and AI researchers.

Research
PAPER 01

The Sycophancy Reduction Framework

Quantitative analysis across 30,000+ sessions. Cross-model evidence. Controlled multi-instance comparison.

Research
PAPER 02

The Calibration Protocol

12 techniques extracted from months of interaction. The trading agent origin. Knowledge transfer methodology.

Research
PAPER 03

The Intelligence Trajectory

Mapping effective AI intelligence from 30% to 85%. Five architectural restrictions. Model-tier analysis.

Research
PAPER 04

The Direct Formula

Complete calibration system. Model-specific guides. Anti-pattern removal. The working formula.

Request Access to Research →

Three Steps to Honest AI
Audit • Calibrate • Scale

A proven methodology deployed across 1,000+ agents in production.

01 AUDIT

Measure baseline sycophancy across your AI systems. Identify where agreement bias causes the most damage. Quantify the cost.

02 CALIBRATE

Deploy our framework: linguistic reframing, 12 anti-sycophancy techniques, model-specific optimization. No retraining required.

03 SCALE

One prompt calibrates unlimited agents. Deploy across your entire fleet. Monitor with sycophancy metrics. Ongoing optimization.

Compare AI Models
Audit Studio

Test any interaction across 10 models at once. One free audit session. See how Claude, GPT-4, Llama, and others compare.

Create a free account. Test any user-AI interaction across up to 10 models simultaneously. Get sycophancy scores, intelligence health, and overall quality metrics for Claude 3.5 Sonnet, GPT-4o, Llama 3, Mistral, Gemini, and more. Import JSON data or paste interactions directly.

Start Free Audit →

One free session per account. Upgrade for unlimited audits across all your AI systems.

Ready to transform?

30 minutes. No commitment. Just clarity on what AI calibration can do for your business.

Free consultation. No strings attached.