AI got smarter.Not more trustworthy.
Syntheric is the reasoning infrastructure layer for AI — forcing independent deliberation, surfacing dissent, and producing a confidence-scored verdict that can be audited, traced, and defended.
Every AI today
1 model.
1 answer.
No dissent. No confidence score. No way to know if it's wrong.
Syntheric
5 models.
1 verdict.
92% confidence. Dissent scored. Hallucination measured. Fully traceable.
5 Independent Models
GPT-5.5
OpenAI
91%
confidence
Claude 4.5
Anthropic
94%
confidence
Grok 4
xAI
84%
confidence
DeepSeek V4
DeepSeek
88%
confidence
Mistral
Mistral
79%
confidence
Scoring Breakdown
Aligned 72%
Minor Dissent 18%
Major Dissent 10%
No critical contradictions
Strong reasoning chain
1 unsupported assumption flagged
No major evidence gaps
Deliberation logs encrypted · Model identities anonymized · Results reproducible
The problem
AI got smarter.
Nobody made it trustworthy.
Every model returns one answer from one system with no dissent, no confidence score, and no way to know if it is wrong. That answer is now being trusted for investment decisions, legal research, medical protocols, and billion-dollar software architectures.
The current default
1
Model. One answer. One point of failure.
When it fails
0%
Visibility into why the model was wrong.
The real cost
∞
Downstream decisions built on that answer.
The market
The category that
doesn't exist yet.
Every AI company is building models. Nobody is building the layer that determines whether those models can be trusted. That infrastructure doesn't exist. Syntheric is building it first.
$4T+
Global AI spend by 2030
IDC forecast
0
Dedicated AI trust infrastructure vendors
The gap we fill
92%
Avg verdict confidence on live queries
Syntheric result
8%
Hallucination risk vs 30–40% baseline
RUDE engine
Models are commoditizing
GPT, Claude, Gemini, Grok, Llama — they all answer. Competitive moats are collapsing at the model layer. The lasting value is shifting above it.
Stakes are rising fast
AI is now embedded in legal, medical, financial, and infrastructure decisions. One confident wrong answer isn't a UX failure — it is a liability.
No one owns this layer
There is no Bloomberg Terminal for AI reasoning. No audit trail for high-stakes AI decisions. No confidence infrastructure. That is the white space.
The engine
Disagreement
is the product.
Most AI systems hide uncertainty. Syntheric exposes it, measures it, and uses it to produce answers that survive scrutiny.
Independent reasoning
Up to 5 frontier models answer the same question without seeing each other. Herd behavior is structurally impossible. Every answer is its own uncontaminated signal.
Cross-examination
Every answer is anonymously challenged by competing models. Assumptions are tested. Contradictions, evidence gaps, and unsupported logic are surfaced before a verdict is formed.
That scoring logic is Syntheric's — fixed, auditable rules applied to disagreement, not another model's opinion. A lab can ship a smarter model. They can't ship our reasoning-under-disagreement engine.
One defended verdict
R.U.D.E. has already scored evidence strength, hallucination risk, dissent level, and contradiction index. JUDGE calibrates confidence from those scores and produces one accountable verdict — with full traceability.
Why now
The reasoning infrastructure layer is an open category. We are building it.
5
Frontier models supported
OpenAI · Claude · Grok · DeepSeek · Mistral
92%
Avg verdict confidence
Across live production queries
8%
Hallucination rate
vs 30–40% single-model baseline
Zero
Direct competitors
This category doesn't exist yet
Research & Analysis
Stop trusting a single model's summary. Get competing reasoning chains, surface disagreements, and return a confidence-scored verdict.
Software Engineering
Catch hallucinated APIs and weak assumptions before code ships — not after it breaks in production.
Strategy & Investment
Every high-stakes decision deserves structured deliberation. Know what the models disagree on before you commit.
The bet
Foundation models will
keep improving.
The trust layer is the moat.
The enterprises and governments betting on AI will eventually demand to know: how confident is this answer, what did the models disagree on, and can this verdict be audited? Syntheric is building that infrastructure before the market makes it mandatory.
Early access open · team@syntheric.ai