Augle

Augmented deliberation.
Engineered for the questions that matter.

Augle's multi-agent ensemble maps what's settled, what's contested, and what's unknown — producing evidence-anchored findings with calibrated confidence grades grounded in verifiable data.

Full audit trail·Every source verified·Dissent preserved, not resolved away
Evidence landscape
Settled32 nodes
Contested21 nodes
Unknown28 nodes
Active question
"Does smartphone ESM provide sufficient ecological validity for attentional state claims in naturalistic environments?"
Multi-agent ensemble

Structured deliberation across three phases — not a single model guessing.

Phase 1
Exploration

The Cartographer maps the evidence landscape. The Methodologist assesses construct validity. The Guardian's Source Verification Service authenticates every citation in real time.

Phase 2
Deliberation

The Contrarian surfaces the strongest objections — including the ones you haven't thought of. Each objection is classified by strength and resolution status before the ensemble proceeds.

Phase 3
Synthesis

The Synthesizer weighs evidence across agents at temperature zero. The Pragmatist produces actionable next steps. The full deliberation is logged as an auditable reasoning trace.

Featured outcomes

What deliberation
looks like in practice.

Browse all outcomes →
PolicyHigh confidence

"Does the proposed infrastructure bill's cost-benefit methodology adequately account for climate-adjusted risk over a 30-year horizon?"

Settled: standard CBA frameworks systematically undervalue tail risk. Contested: the appropriate discount rate for climate-adjusted infrastructure. Finding: defensible for near-term projections; materially inadequate for 20+ year claims.

Ensemble · 3 phasesView →
HealthcareContested

"Is the drug-drug interaction evidence sufficient to contraindicate concurrent use in patients with moderate hepatic impairment?"

Strong unresolved objection: the interaction studies excluded moderate hepatic impairment populations entirely. The finding is contested — not because evidence conflicts, but because the relevant population was never studied.

Ensemble · 3 phasesView →
Venture capitalMedium confidence

"Does the TAM assumption in this Series A deck reflect the addressable market or the theoretical maximum?"

Construct validity issues with the market sizing methodology — the $14B figure conflates enterprise and SMB segments with fundamentally different sales motions. The defensible TAM for the current GTM is $2.1–3.4B.

Ensemble · 2 phasesView →
Guardian integrity system

Every source verified before it influences a finding.

The Guardian runs continuously across all three phases — authenticating citations, flagging unverified preprints, enforcing domain-specific integrity rules, and capping confidence grades on any node where source verification fails.

Source Verification Service authenticates every citation in real time
Unverified preprints and retracted papers automatically flagged and capped
Domain-specific integrity modes: academic, legal, clinical, financial
Full audit trail — every source decision logged and exportable
Source verification · live session
Pashler et al. (2008) — Reproducibility and Research PracticesVerified
Open Science Collaboration (2015) — Science, Vol. 349Verified
Martinez et al. (2024) — arXiv preprint, not peer-reviewedFlagged
Simmons et al. (2011) — False-Positive Psychology, Psych ScienceVerified
Chen & Liu (2023) — Conference proceedings, pending reviewUnverified
Ioannidis (2005) — Why Most Published Research Findings Are FalseVerified
Built for high-stakes reasoning across every domain
7
Specialized agents per session
3
Deliberation phases per analysis
11
Solution verticals served
100%
Auditable reasoning corpus
Serving researchers, analysts, and decision-makers across
Universities + academiaResearch labsPolicy + lawmakersLaw firmsVenture capital + PEThink tanksEnterpriseHealthcare + life sciencesGovernmentFinancial servicesMedia + journalism

Engineered for the
questions that matter.

Join researchers, analysts, and decision-makers using Augleto find the hard edges of what they know.