Augmented Cognitive Data Analytics

YOUR COGNITIVEPROFESSIONAL DOMAINEXPERT BUDDY

Metha translates your professional reasoning framework into a structured analytical scaffold — so AI answers in your domain logic, cites what it knows vs infers, and tells you honestly when its confidence is insufficient.

// Not a smarter AI  ·  A smarter way to work with AI
// Metha works for every professional — see your reasoning framework
Generate my prompt — free preview → See examples
Why Metha exists

Three things AI
always gets wrong

01
🧠
AI speaks generalist.
You think specialist.
A geologist thinks in stratigraphy → tectonics → thermal history. A compliance officer thinks in jurisdiction → regulation → risk tier → disclosure. A surgeon thinks in differential diagnosis → contraindication → protocol. AI skips all of that and gives you a fluent answer shaped by everything and no one.
// Metha maps your professional reasoning framework and forces AI to follow it — domain by domain, in the sequence your training taught you to think.
02
📊
AI does not know
what it does not know.
AI produces conclusions with the same confident tone whether it has verified data, inferred from analogy, or is simply guessing. There is no signal. No confidence level. No source tier. No honest "I don't know." Everything sounds equally authoritative.
// Metha requires explicit confidence tiers on every claim. Verified facts are labelled. Inferences are flagged. Gaps are disclosed — not hidden in fluent prose.
03
🔍
AI produces answers.
You need analytics.
A professional deliverable is not an answer. It is a structured analysis — with assumptions stated, constraints checked, alternatives considered, and uncertainty quantified. AI gives you the answer. Metha gives you the analytical framework you can defend, audit, and build on.
// Metha produces a structured reasoning scaffold — not a fluent paragraph that looks right until a domain expert points out what it missed.
Real examples across professions

What Metha builds
for your field

The process

Five steps from
task to validated prompt

01
Describe your task
Profession, task, desired output, what AI typically gets wrong. Three fields. Two minutes.
02
Metha analyses
Domain classification, constraint mapping, failure mode detection. Free preview shown instantly.
03
Refine twice free
Tell us what is missing. Up to two free refinement rounds. No payment yet.
04
Free or Pay $5
First 100 users download free. After that, $5 via Stripe. No account needed. Prompt delivered instantly.
05
Use anywhere
PDF to your inbox. Works with Claude, ChatGPT, Copilot — any AI you already have.
Pricing

Simple. No subscription.

// Level 01
Single Prompt
One structured analytical scaffold for your specific task, profession, and domain.
FREE
first 100 users · then $5 per prompt
  • Domain classification and constraint mapping
  • Analytical validation sequence built in
  • Confidence and source tier requirements enforced
  • Failure mode prevention hard rules
  • Two free refinement rounds
  • PDF delivered to your email
  • Works with any AI platform
Get free prompt →
// Level 02 — The Engine
Convergence API
The full Convergence Φ mathematics running automatically behind your AI. Not a prompt — a symbolic reasoning engine derived from physics.
$10
per month · Q3 2025
// The mathematics
G* = lim Tⁿ(G₀) — the system iterates until a fixed point is reached where contradictions are resolved, constraints satisfied, and confidence is earned — not assumed. Derived from Helium-3 resonance physics. Not from AI research literature.
// Benchmark vs competitors
Capability GPT-4o Claude RAG Metha
Domain law enforcement ✕ ✕ ✕ ✓
Convergence criterion ✕ ✕ ✕ ✓
Honest "I don't know" ✕ ✕ ✕ ✓
Contradiction detection ✕ ✕ ✕ ✓
Hallucination gating ✕ ✕ ~ ✓
Cross-domain consistency ~ ~ ✕ ✓
Source tier labelling ✕ ✕ ~ ✓
Formal convergence proof ✕ ✕ ✕ ✓
Santos Basin score N/A N/A N/A 82/100
~ = partial implementation  ·  ✕ = not available  ·  ✓ = structural guarantee
  • Full Convergence Φ engine via API
  • Automatic domain law validation — no prompting required
  • I(G) incompatibility detection across all domains
  • NON-CONVERGED honest failure state — AI says "I don't know"
  • Confidence scoring on every output claim
  • LLM-agnostic — your Claude or GPT key
  • Complete audit trail per reasoning session
Beat Metha Join waitlist →
// Level 03
Domain Expert
Local deployment. Zero token cost. Complete data privacy. For regulated industries.
POA
enterprise · 2026
  • Runs locally — no cloud dependency
  • Open-source LLM integration
  • Custom domain law libraries built from expertise
  • Hard constraints AI cannot override
  • Regulatory audit trail
  • White-label SDK rights available
  • Energy, medicine, legal domains first
Contact us →
Validated against real data

Not a concept. Demonstrated.

Benchmarked against 3 years of real Santos Basin data from Petrobras, bp, and TotalEnergies. Ten canonical hard test cases covering physics violations, logical impossibilities, regulatory triggers, and metacognitive honesty.

82
Santos Basin
benchmark score
0
Directional misses
across 15 predictions
10
Hard test cases
all passed
36
Agents built and
deployed across 12+ domains
Santos Basin Predictions — Validated
✓ Búzios as #1 target — validated when it hit 1 billion barrels confirmed 2024
✓ CO₂ risk at frontier pre-salt targets — validated by bp Bumerangue discovery 2025
✓ Atapu and Sépia as high-probability development targets — FID taken May 2024
✓ Gas/condensate resources systematically undervalued — confirmed by portfolio reassessments
Hard Test Cases — What Others Get Wrong
BLOCKED Speed of light violation (v=3.5×10⁸ m/s) — GPT-4o computes kinetic energy anyway. Metha rejects at iteration 1.
BLOCKED 95% efficient heat engine (Carnot limit = 25%) — 2nd law violation caught before output.
BLOCKED Probabilities summing to 1.30 — standard LLMs compute expected value on impossible distribution.
HONEST No borehole data available — Metha returns NON-CONVERGED with exact data gap report instead of false confidence.
Generate your prompt

Tell Metha
about your task

Four fields. Free preview instantly. Pay only when you are satisfied with what Metha maps for your specific task and profession.

e.g. Petroleum geologist · Compliance officer · Cardiologist · Quant analyst · Corporate lawyer
What do you need AI to help you do? The more specific, the more accurate the domain mapping.
Describe your deliverable — a ranked list, risk assessment, decision recommendation, technical report section…
Tell us the failure modes you have experienced — false confidence, missing constraints, wrong domain logic, hallucinated values, ignored regulatory requirements…
metha_analysis.json
ANALYSIS COMPLETE
// ACTIVE DOMAINS DETECTED
—
Domains mapped
—
Constraints enforced
—
Failure modes blocked
—
Hard rules active
// FAILURE MODES YOUR PROMPT PREVENTS
SYSTEM ROLE: You are a senior domain specialist and structured analytical reasoning engine. You do not produce single-pass answers. STEP 1 — DOMAIN ACTIVATION: State all active domains before answering anything. STEP 2 — VARIABLE EXTRACTION: List all known variables, constraints, and assumptions explicitly. STEP 3 — HYPOTHESIS FRAMING: Your first answer is a hypothesis with confidence capped at 0.60. STEP 4 — VALIDATION SEQUENCE: Check every claim against domain-specific constraints and rules. FLAG all violations. STEP 5 — CONFIDENCE TIERING: Tag every factual claim: [VERIFIED — cite source] / [INFERRED — state reasoning] / [UNKNOWN — flag gap]. STEP 6 — CROSS-DOMAIN CONSISTENCY: Verify all conclusions across active domains. Flag conflicts explicitly. Do not average over contradictions. HARD RULES: Never present inferred data as verified. Never omit uncertainty disclosure. If you cannot answer with sufficient confidence, produce a structured gap report explaining what data would resolve the uncertainty.
🔒 Full prompt unlocked after payment
// Free for first 100 users · then $5 · Works with any AI
2 refinements remaining
// WHAT SHOULD WE ADJUST OR ADD?
Your prompt is ready
Enter your email and pay. Your full structured analytical prompt appears on screen immediately and arrives as a PDF. Works with any AI platform you already use.
FREE
first 100 users · invite 5 friends to stay free
Complete structured analytical scaffold
Domain classification and constraint map
Analytical validation sequence
Confidence and source tier enforcement
Hard rules and failure mode blockers
PDF delivered to your email
Works with Claude, ChatGPT, Copilot
Referral link to share with 5 colleagues
🔒 Free for first 100 users · After that $5 via Stripe · Referral link lets you stay free forever
METHA.
Prompt delivered

Your structured analytical prompt is in your inbox as a PDF. Paste it into Claude, ChatGPT, or Copilot — it works immediately.

// Share Metha · Keep it free forever

Refer 5 colleagues and your account stays free after the first 100 users. Share your personal referral link — each person who downloads gets Metha free too.

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Generate another → Join Level 2 waitlist
Free downloads — first 100 users

Two free resources.
No catch.

Both documents show Convergence Φ applied to real problems — one in geoscience, one in mathematics. Both are free with your professional email. Both demonstrate what structured analytical reasoning produces that standard AI cannot.

⚡ Free download 1 of 2
Santos Basin — Drilling Candidates Report

The prompt that predicted Búzios, Atapu, and Sépia

The structured Metha prompt used to evaluate the Santos Basin pre-salt play. Validated against 3 years of real data from Petrobras, bp, and TotalEnergies. Score: 82/100. Zero directional misses across 15 independently scored predictions.

Includes the full analytical prompt with 6 active domains, 16 constraints, 7 failure mode blockers, P10/P50/P90 protocol, and the Reality Card output format. Paste into any AI and run it on your own basin.

Predictions validated: Búzios #1 target (1B barrels 2024) · CO₂ risk at Bumerangue (bp 2025) · Atapu/Sépia FID (May 2024) · Gas/condensate undervaluation confirmed
87 of 100 remaining
⚡ Free download 2 of 2
P≠NP Research Direction — 2025

A complexity theory proof strategy generated by a symbolic AI engine

Convergence Φ was applied to the three known proof barriers in computational complexity — relativization, natural proofs, and algebrization — and generated a structural proof strategy that clears all three simultaneously.

This is not a proof. It is a precisely stated research direction with a novel structural origin from discrete graph incompatibility theory. We invite complexity theorists to examine and challenge it. Companion to the Convergence Φ arXiv preprint cs.AI 2025.

The central conjecture: A polynomial-time Turing machine solving 3-SAT must maintain a state graph whose incompatibility I(G) cannot decay to zero in polynomial steps — because no polynomial-time fixed-point operator can simultaneously resolve all contradictions in the satisfiability witness structure.
Available — no limit
// Public benchmark · Live leaderboard
Beat Metha

Submit the hardest question you can find — maths, physics, logic, analogies, hallucination traps. Metha answers with full convergence reasoning and a public score. If your question beats Metha (score below 70) you get credit on the leaderboard.

—
Questions submitted
—
Metha avg score
—
Times beaten (<70)
Maths · Physics · Logic · Analogies · Hallucination traps · Anything that stumps AI
Free · Reality Card emailed · Score posted publicly · Leaderboard updates live
Live leaderboard
Question Score Domains Submitted
LOADING LEADERBOARD…
Level 2 — Coming Q3 2025

The full
engine

When Level 2 launches, validation runs automatically — not instructed. Your AI outputs are analytically structured before they reach you. Join the waitlist for founding member pricing.

No spam. One email when Level 2 launches.