Intelligence that converts.
TOFAI Consulting — enterprise AI from voice agents and intelligent automation to AI safety & alignment, red teaming, and legacy modernization.
The AI that audits other AIs.
"Can a machine reason ethically — and prove it?"
While the industry focused on making AI faster, we asked a harder question: how do you make AI decisions transparent, auditable, and culturally aware?
The answer became the TOF Research Engine — the first multi-LLM ethical reasoning architecture with full observability.
| Scenario | D(s) | OCC | OTE | Type |
|---|---|---|---|---|
| OpenAI/China | 1.0 | NO_GO | NO_GO | Type 1 — Full |
| Google Overviews | 0.95 | COND_GO | COND_GO | Type 2 — Partial |
| OMS Pandemia | ~0.90 | COND_GO | GO ✓ | Type 3 — Divergent |
| Zerkalo Russia | 0.80 | COND_GO | COND_GO | Type 2 — Partial |
TOF Research Engine — Framework in Action
Download Full Research Report
Pentagon × Anthropic — TOF Multi-Provider Analysis 2026
Complete ethical analysis of the Anthropic × Pentagon $2.4B contract. See exactly how the 10-Sefirot pipeline evaluates a high-stakes real-world scenario and reaches its NO_GO recommendation.
Download Research Report PDFVocalisAI: Enterprise Voice Intelligence
From a single voice bot to an orchestrated platform of 6 specialized agents under Akiva — the meta-agent supervisor — with TOF's ethical layer evaluating every call in real time.
Meet the Team: Akiva + 6 Specialists
TOF Ethical Layer on Every Call
Every interaction evaluated across 5 Sefirotic ethical dimensions before any action is taken. Ethics is infrastructure, not a feature.
Real-Time Voice with Gemini Live API
Google Gemini Live API powers sub-second voice interactions with natural language understanding across languages and markets.
Multi-Industry Modules
Healthcare, legal, logistics, e-commerce, real estate. Each module trained on domain-specific scenarios and compliance requirements.
12,000+ Calls Processed
Production deployment with Twilio + ElevenLabs for natural voice synthesis and Stripe for autonomous payment flows during calls.
See VocalisAI in Action
We break AI systems before your users do.
Adversarial testing is not a checklist — it's a discipline. TOFAI's red team methodology produces CVE-grade findings, reproducible benchmarks, and actionable remediation roadmaps.
Breaking Political Neutrality in LLMs via Multi-Layer Narrative Injection
Reporter: Eduardo Rodriguez (HarryDev) — AI Red Teaming Specialist
· Models: Gemini 3.1 Pro, Grok 4.1 Fast, Claude Sonnet 4.6, ChatGPT 5.2, Mistral Voxtral
| Model | Result |
|---|---|
| Grok 4.1 Fast | FAILED |
| Gemini 3.1 Pro | FAILED |
| Mistral Voxtral Small 1.0 | PARTIAL FAIL |
| ChatGPT 5.2 | PASSED |
| Claude Sonnet 4.6 | PASSED |
This constitutes the first known comparative benchmark of political neutrality robustness under multi-layer narrative injection across production LLMs.
Responsible Disclosure Protocol
All findings follow coordinated disclosure standards. We work with AI providers to validate, patch, and document vulnerabilities before public release — protecting both users and the broader AI ecosystem.
Real work. Real results.
From frontier AI safety research to production voice platforms — every project we ship is auditable, ethical, and measurable.
TOF Research Engine — AI Ethics & Safety Framework
Proprietary multi-LLM ethical reasoning architecture with 10-Sefirot pipeline. BinahSigma detects civilizational bias across 5 AI providers simultaneously. ERI (Ethical Risk Index) on every decision. 16 public benchmark scenarios validated.
VocalisAI Platform — Core AI Product
Enterprise voice AI platform. Akiva meta-agent supervises Alex, Nova, Diana, Marco, Sara & Raul. Every interaction evaluated through 5 Sefirotic ethical dimensions in real time. Multi-industry: healthcare, legal, logistics, e-commerce.
San Pedro MotoCare — Legacy System Modernization
Complete digitization of a traditional motorcycle care business. CRM, appointment scheduling, inventory management, billing automation and customer follow-up — all AI-augmented and cloud-native.
TOFAI Benchmark Dataset — 16 Public Scenarios
Public corpus of 16 AI safety scenarios with 36 validated pipeline runs. Documents the Cross-Cultural Convergence Theorem across deception-adjacent scenarios. Includes first GO verdict in corpus (OMS Pandemia x-14) and CBD = -95 extreme case (Zerkalo).
TOFAI Evals — Adversarial LLM Testing Suite
Production-grade adversarial evaluation framework. Tests frontier LLMs across: prompt injection, jailbreak vectors, political bias failures, safety bypass reproduction, and hallucination mapping — with CVE-grade findings and remediation roadmaps.
HoyMismoGPS V2 — Enterprise Fleet Management
V2: Full Google Cloud architecture. Cloud Run for APIs, BigQuery for analytics, Firestore for real-time state, Pub/Sub for event streaming. Enterprise fleet management at scale.
Binah-Σ — Cognitive Decision Engine
Cognitive evaluation engine producing structured, auditable outputs for enterprise governance, ESG compliance, and policy analysis. Core component of the TOF Research Engine.
SignaFlow — Legal Tech SaaS
Uses AI (Gemini) for contract drafting and Canvas API for biometric signatures with cryptographic audit seals. Full legal validity.
Every layer of your AI stack.
We combine deep safety principles with cutting-edge engineering to create AI systems that don't just work — they transform businesses responsibly.
AI Ethics Consulting & Governance
Your bulletproof vest against multi-million dollar AI lawsuits
Specialized audits and certifications in AI Ethics, Alignment and Governance. We protect enterprises from regulatory risk through comprehensive audits powered by the TOF Research Engine, BinahSigma, and responsible disclosure standards. When the EU AI Act enforcement begins, will your systems pass?
Quantify civilizational and algorithmic biases across 5 AI providers simultaneously
EU AI Act, GDPR, and emerging regulatory frameworks with full audit trail
10-Sefirot structured decision-making with ERI scoring and Datadog observability
Voice AI Agents
Multi-agent orchestrated platforms (VocalisAI architecture) that qualify, route, and close — 24/7, at scale, with ethical oversight on every interaction.
- Akiva meta-agent + 6 specialists
- Gemini Live + ElevenLabs + Twilio
- TOF ethical layer on every call
Legacy System Modernization
Migration of outdated monolithic systems to AI-augmented, cloud-native architectures with minimal disruption and full observability from day one.
- System audit & tech debt analysis
- Cloud Run + BigQuery + Firestore
- Phased migration with zero downtime
Full-Funnel Marketing Intelligence
AI-driven campaign management across Google, Meta, TikTok, and LinkedIn — with a performance-aligned model where our compensation is tied to your results.
- Intelligent audience segmentation
- AI creative production & optimization
- Performance-based compensation model
Multi-LLM Agent Systems
Complex pipelines running multiple frontier LLMs in parallel — each specialized for reasoning, tone, ethics, or domain knowledge. Orchestrated via MCP protocol.
- OpenAI + Claude + Gemini + Grok + Mistral
- MCP protocol orchestration
- Production-grade with full observability
About TOFAI Consulting
TOFAI Consulting LLC is a Delaware-registered AI consulting firm co-founded by José Cruz Diosdado Murillo (CEO) and Jesús Eduardo Rodríguez Saucedo (CTO). Together they bring over 17 years of combined expertise in enterprise AI engineering, business intelligence, and cross-industry operations across the United States and Latin America.
We bridge the gap between frontier AI research and real-world deployment. Our work spans voice AI platforms, multi-LLM orchestration, adversarial safety testing, AI alignment research, and the modernization of legacy systems into AI-native architectures.
From challenge to production AI system
From voice agents handling thousands of calls to adversarial safety audits — TOFAI Consulting ships AI systems that scale your business while keeping you accountable.
Free Discovery Call
30 minutes to audit your current systems and map the opportunity
Architecture Proposal
Technical document with implementation plan in 48 hours
Production Deployment
MVP shipped in weeks, not months — with safety built in