Wokelo
Domain-Tuned LLMs

AI that thinks like a dealmaker

Bespoke AI models trained for investors and consultants, safeguarded by proprietary no-hallucination SLMs.

Features

What It Means?

Purpose-built AI trained on how dealmakers and consultants actually work, not generic models retrofitted for financial services.

Domain-Specific AI
    Wokelo deal-style reasoning flow diagram with connected prompts and branching explanations showing how Wokelo’s domain-specific AI models structure investment-grade analysis through logical questioning and contextual reasoning
Domain-Specific AI

Proprietary models trained on investment-grade data. Outputs that match how deal teams actually think and work.

Advanced Multi-Model Reasoning
    Wokelo multi-model orchestration graphic showing integration of specialized models including SLMs, finetuned LLMs, RLHF, and NLP/NLU alongside frontier models like OpenAI, Claude, Gemini, and Grok for retrieval, synthesis, and quality verification
Advanced Multi-Model Reasoning

Sophisticated orchestration layer combining proprietary and frontier models to execute data retrieval, synthesis, visualizations, and quality checks.

Multi-Layer Fact Verification
    Wokelo project workspace with sources list and uploaded files including financials, patents, and product roadmaps showing dual-model validation process against source material to reduce hallucinations and ensure accuracy
Multi-Layer Fact Verification

Dual-model architecture comprising an independent SLM that validates every output against its source ensuring zero hallucinations.

Granular Source Attribution
    Wokelo report view with referenced chart and highlighted data points showing how each statement is traceable to exact source including file, table cell, chart element, or citation for instant verification
Granular Source Attribution

Every statement is traceable to its exact source — specific line, table cell, chart data point, or graphic. Clickable citations enable instant verification.

Fortune 500 Technology Company Analyzes 50+ Deals with Zero Material Errors

Generic AI tools don't understand why a 15% revenue CAGR matters differently for SaaS versus manufacturing. Wokelo's domain-tuned models think like our team does. The fact-checking layer means we can trust the output without constant manual verification.
~1,800 hrs

Saved annually on data validation

50+

Deals analyzed with zero material errors

Stop settling for generic AI.

Experience finance-native models with line-level citations and zero hallucinations.
Domain-Tuned LLMs for Finance | Wokelo AI