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Yves Intelligence

Automated language analysis.
Authoritative human decisions.

Incoming submissions are translated, classified against your sector taxonomy, evaluated for urgency and actionability, redacted for personal data, and embedded for semantic search. Enriched records route directly to operational leads with verifiable context.

40+

Languages normalized

Original submissions preserved verbatim in their source language.

Real-time

Processing pipeline

Continuous ingestion and enrichment scaling with submission volume.

100%

Audit trail coverage

Complete logging of prompts, classifications, and system outputs.

< 2 min

Intake to triage queue

Automated translation, scoring, PII screening, and queue assignment.

Operating Model

Automated processing speed. Accountable human authority.

Language models excel at high-throughput textual analysis: normalizing multilingual text, distinguishing routine suggestions from operational crises, and clustering semantically related reports expressed in different vocabularies.

Operational authority remains strictly with designated leadership. Yves displays model confidence scores, attaches verified source quotes, and establishes empirical patterns. Assigned personnel authorize all binding actions, with full attribution in the audit trail.

All model outputs adhere to strict JSON schemas, ensuring malformed responses fail cleanly rather than polluting analytics. This architectural boundary guarantees dependable data integrity for executive reporting.

Interactive Semantic Space

2D PCA Vector Constellations & Qualitative Clustered Meaning

Click any vector node to inspect the underlying qualitative verbatim, cosine proximity, and automated sentiment classification.

console.yves.africa/discover
Vector Constellation · 2D PCA Embeddings1,247 High-Dimensional Signals
Negative
Neutral
Positive
PC1 (Semantic) →↑ PC2 (Urgency)
Autonomous Staff Roundtable

Multi-Agent Consensus Deliberation

Watch six sovereign AI agents debate severity thresholds, language equity, and mitigation protocols in real time before proposing actions to human leadership.

console.yves.africa/council
Agent Council · 6 Sovereign AgentsAutonomous Governance
Consensus Deliberating
📋
Chief of StaffBriefing Desk

Evidence shows a 240% surge in callback failures at Northgate. I recommend immediate escalation to leadership today.

🔮
CassandraForesight Horizon

Forecast models show a 78% probability this extends to Eastfield within 72 hours. Proactive staffing adjustment needed.

🛡️
SentinelRisk Assessment

Risk matrix places this at severity 9.2. This meets the threshold for Crisis Protocol Alpha.

⚖️
AdvocateEquity & Access

Language equity note: 62% of affected reports are in Spanish and Arabic — ensure translated follow-up communications.

📋
Chief of Staff is synthesizing consensus…
Enrichment Pipeline

Automated enrichment steps applied to every submission

The ingestion pipeline processes submissions continuously, ensuring incoming messages are categorized, translated, and scored prior to human review.

  • Translate into a unified working corpus while preserving original text in its detected language
  • Classify against approved sector taxonomies tailored to your organization
  • Score sentiment on a continuous numerical scale to measure week-over-week trends
  • Calculate urgency scores and automatically escalate legally sensitive reports
  • Evaluate operational actionability independently from emotional tone
  • Extract core topics to power automated semantic clustering across your dataset
  • Detect and redact personally identifiable information (PII) from aggregated dashboards
  • Generate vector embeddings for semantic search, duplicate detection, and cluster analysis
Custom Taxonomy

Classify feedback into organization-defined categories

Taxonomies are configured per tenant and approved by your compliance and operational teams prior to deployment. Pre-built templates are available for healthcare, government, financial services, hospitality, and education.

  • Eight to twelve verified operational categories with an unclassified overflow bucket
  • Automated clustering surfaces emerging patterns from unclassified submissions for taxonomy review
  • Compliance officers or operational leads retain sole authority to add or modify categories
  • Categories with compliance or legal liability trigger automatic high-priority routing
Data Interpretation

Contextual narrative explanations for analytical charts

Every analytics view provides an automated narrative explanation detailing how the metric was computed, underlying trends, data sufficiency, and recommended investigative steps based solely on verified data.

  • Integrated across all analytics views and executive dashboards
  • Persisted in the system audit log for historical review and reporting consistency
  • Clearly identifies sample size limitations and statistical confidence boundaries
Model Independence

Architectural provider flexibility.

The intelligence layer operates through standard API abstractions. Organizations can switch underlying model providers through configuration without code changes. For dedicated enterprise deployments, you can supply your own API keys or host models within your private cloud boundary.

Analytical Outputs

Structured intelligence products for leadership

Every output is archived, traceable to source messages, and evaluated against verifiable operational outcomes.

01

Daily operational briefing

Executive summary highlighting top emerging concerns, urgency shifts, and operational priorities from the preceding 24 hours.

02

Triage proposals

Automated analysis of urgent submissions proposing specific department routing and remediation actions for human sign-off.

03

Dynamic risk register

Continuous risk monitoring tracking root drivers, initial response steps, and standardized escalation protocols.

04

Probabilistic forecasting

Projected submission volume and issue trends accompanied by calibration scores and statistical baseline comparisons.

05

Root-cause analysis

Factor decomposition linking reported issues directly to verified source excerpts and operational touchpoints.

06

Alternative scenario analysis

Structured evaluations of proposed interventions highlighting potential operational tradeoffs and risk factors.

07

Grounded response drafts

Draft responses generated in the respondent's native language with parallel English translations, grounded entirely in verified submission facts.

08

Evidence-backed briefs

Structured summaries compiled from selected case submissions with confidence ratings and empirical source citations.

09

Consistency auditing

Cross-temporal consistency checks comparing current assessments against historical baselines to flag unexpected metric drift.

“Automate intake, translation, and integrity screening at scale, while ensuring accountable human personnel retain final operational authority.”

Core Architectural Principle

Questions

Asked often enough to answer here

Yves uses frontier language models for text classification and translation, paired with specialized dense vector models for semantic embeddings. Providers are abstracted behind a unified interface, allowing organizations to switch providers or deploy with customer-managed keys.
Next step

Experience automated feedback intelligence
with your operational data.

Deploy a 7-day evaluation tenant with custom sector taxonomies, automated translation, and executive reporting.