The AI analytics market hits $11.3B by 2027. Your teams spend 23% of their time searching for information. We deploy AI that turns unstructured data into actionable intelligence with 5x faster insights and natural language queries.
More data than ever, less clarity than ever. Your teams are spending more time finding and formatting information than using it to make decisions.
$37B wasted on unproductive meetings annually. No transcripts, no action items, no follow-up. Decisions evaporate after the call ends.
Teams have access to more data than ever. 73% say they cannot find insights fast enough to make timely decisions.
Executives get 20+ reports/week. AI can synthesize them into one brief with actual insights instead of raw numbers.
Critical business decisions based on Excel files with formula errors in 88% of them. No version control, no audit trail.
When employees leave, their insights leave too. AI preserves institutional knowledge so it survives turnover.
Competitors decide in hours. Your data analysis takes weeks. By the time the report is ready, the window has closed.
Auto-transcribe, summarize, extract action items, track follow-ups. Every meeting produces outcomes. Integrates with Teams, Zoom, and Google Meet.
Turn contracts, reports, and manuals into searchable, analyzable knowledge bases. Ask questions about your documents in natural language and get cited answers.
Ask questions in plain English, get answers from your databases. No SQL required. "What were our top 5 products by margin last quarter?" — answered in seconds.
AI-generated executive briefs, KPI dashboards, anomaly alerts. No more 3-day report cycles. Real-time insights delivered to the right people automatically.
Map your organization's knowledge. Find connections humans miss. Who has expertise in X? What decisions led to Y? Institutional memory that survives turnover.
Forecast trends, identify risks, optimize decisions with AI models trained on your data. See what is coming before it happens and act preemptively.
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| Metric | Traditional Analytics | AI-Powered Analytics |
|---|---|---|
| Time to insight | Days to weeks | Seconds to minutes |
| Query method | SQL/report requests | Plain English questions |
| Meeting outcomes | Manual notes (if any) | Auto-transcribed, summarized, action-tracked |
| Report generation | 2-3 days manual compilation | Real-time, auto-generated |
| Knowledge retention | Lost when employees leave | Preserved in knowledge graphs |
| Anomaly detection | Discovered after impact | Real-time alerts |
| Data accessibility | Requires analyst intermediary | Self-service for all employees |
1 week — Map data sources, assess quality, identify high-value intelligence targets
1 week — Design AI pipelines, integrations, and security boundaries
2-3 weeks — Deploy AI models, connect data sources, fine-tune on your data
1 week — Accuracy testing, user acceptance, edge case handling
Ongoing — Roll out to teams, add data sources, refine models
We deploy meeting intelligence tools that can run entirely on your infrastructure. Transcription and summarization happen locally — no audio or text is sent to external APIs. For cloud-based deployments, we configure data retention policies, access controls, and ensure compliance with your recording consent requirements.
Yes. AI analytics layers on top of your existing BI stack. We build AI-powered data pipelines that feed insights into Power BI, Tableau, Looker, or whatever visualization tools you already use. The AI adds natural language querying, anomaly detection, and automated narrative generation to your existing dashboards.
Meeting transcription achieves 95-98% word accuracy. Document summarization captures key points with 90-95% fidelity. Quantitative analytics (trend detection, anomaly identification) are deterministic and highly accurate. We always include confidence scores and source attribution so users can verify critical insights.
Yes. Recording consent requirements vary by jurisdiction. We help you implement notification systems, configure recording indicators, and establish consent workflows that comply with your specific legal requirements. The AI meeting tools include built-in consent mechanisms.
Absolutely. We fine-tune open-source AI models on your documents, reports, and domain-specific data. These custom models understand your terminology, organizational structure, and business context. They run on your infrastructure so proprietary data never leaves your control.
A knowledge graph maps relationships between information across your organization — connecting people, projects, documents, decisions, and data. It answers questions like "Who has expertise in X?" and "What decisions led to Y?" When an employee leaves, their institutional knowledge stays in the graph.
Free 30-minute consultation to identify your highest-value AI analytics opportunities.