Founder & CEO, FoundLab
LinkedIn • g.dev/alexbolson • FoundLab

I build non-custodial, event-driven reputation execution layers that convert on/off-chain risk signals into deterministic, auditable actions at transaction time.
Production-grade, end-to-end on Google Cloud (Cloud Run, Pub/Sub, BigQuery, Vertex AI).
Proven performance: p95 < 520 ms, per-route SLOs, full OpenTelemetry tracing.

Systems & Protocols Authored:

• Spezzatura Engine: deterministic history (T² time signature)
• Score Sigmoid P(x): reactive risk scoring with α dial
• Guardian AI: temporal GNNs, drift guards
• SDID: W3C VC + selective disclosure / ZK
• Veritas Protocol: sealed rationale, DecisionID, Merkle chain
• Burn Engine: Rules-as-Code, signed logs, controlled reversibility

Core Focus:

• Reproducibility
• Jurisdictional isolation
• Compliance-by-construction
• Explainability-by-design

• Cloud: Google Cloud Platform (Cloud Run, Pub/Sub, BigQuery, Vertex AI), NVIDIA CUDA
• Languages: Python, Typescript, Go
• Data: BigQuery (WORM/immutable), Pub/Sub (event-driven), serverless DBs
• AI/ML: Vertex AI, custom temporal GNNs, explainable models, continual learning loop
• Observability: OpenTelemetry (full distributed tracing), SLO/SLA metrics per route
• Security: Zero-persistence (ephemeral containers, forced TTL), cryptography (SHA-256, ZK-Proof, Merkle chains)
• Infra: Infrastructure-as-Code, CI/CD, immutable builds, reproducible environments
• Compliance: Automated audit trail, DecisionID, event lineage, policy-as-code
• Protocols: W3C Verifiable Credentials, ZK, Rules-as-Code

• End-to-end reproducibility (from transaction to audit)
• “Compliance-by-construction” and “explainability-by-design”
• Everything observable: distributed tracing, logs, metrics, audit hooks
• Strict SLOs (p95 < 520ms), per-route, measured and published
• Event-driven, serverless-first, zero-custody architecture
• Continuous security validation and proactive monitoring
• Focus on deterministic, mathematically auditable systems

Ex-lawyer (Brazil Bar 53.705/SC) and FinTech architect specialized in regulated markets, auditability, and quantum finance.
Builder of production-grade compliance engines, explainable AI, and deterministic, cryptographically-auditable execution layers for financial services.

• Author of “Insider Trading: Crime de informação privilegiada”, cited as legal precedent in Buenos Aires and referenced in case law.
• Technical Lead & Principal Engineer:
  • Veritas Protocol (provable audit trail, Merkle chain, DecisionID)
  • Score Engine / Spezzatura (reputational Hamiltonian, risk quantization)
  • Guardian AI (temporal GNN, drift guards, explainable compliance)
  • Burn Engine (Rules-as-Code, irreversible execution, signed logs)

Transforming the global financial stack by replacing “black box” legacy with radical transparency, security, and adaptive intelligence — architected for regulatory certainty, real-time expla[...]

“Auditability, Security, and Trust are not features. They are systemic properties that emerge from a single, well-architected infrastructure.”

Context:
Traditional finance is paralyzed by a trilemma:

• The imperative to innovate and move fast
• Relentless security and data risk
• The overwhelming burden of compliance, audit, and privacy (LGPD/GDPR)

Problem:
Legacy architectures are inherently opaque. Most “audit trails” are forensic, partial, and expensive to reconstruct. Regulators and executives live with operational uncertainty and fragmented[...]

Founder’s Solution:
FoundLab is building a new market category: Auditable Trust Infrastructure (ATI) — not another RegTech app, but a protocol-level foundation for real-time, mathematically provable trust, des[...]

• Every action and decision is cryptographically chained (hash chaining), assigned a DecisionID, and logged immutably (BigQuery WORM).
• Every step is mathematically verifiable, reducing forensic audit from weeks to a single query.
• Transforms compliance and audit from reactive and manual to proactive and computational.

• No sensitive client data is ever stored: all processing in ephemeral, volatile memory (Google Cloud Run, enforced TTL).
• Radical data minimization: risk is architecturally eliminated, not just encrypted.
• Demonstrates LGPD/GDPR compliance by design; shifts the question from “How is data protected?” to “Can you prove data was never stored?”

• All errors, anomalies, and interventions feed back into continuous, real-time model improvement (“Critic-Loop”).
• Self-healing, adaptive, and explainable models get better with scale and variety of edge cases.
• Proprietary data moat: every new client compounds the network effect, making the system smarter for all.

• Compliance cycle time reduced: 21 hours → 16 minutes (98.7% improvement)
• Error rate reduced: 42% → 2.5% (94% improvement)
• Auditability: 100% of transactions, steps, and decisions are now provable and traceable in real time

Production-validated with clients in the BTG Pactual ecosystem and Elitte Capital.
Recognized by Buenos Aires law journals for legal innovation in market integrity.

• Author: Insider Trading: Crime de informação privilegiada
  Referenced as jurisprudence and featured in Buenos Aires legal review
• Featured in “O Arquiteto Stealth: Como um Ex-Advogado Está Construindo a Próxima Infraestrutura 'Auditável' do Mercado Financeiro” (2025)

• Member, CQF Institute Societies New York
• Member, Google Cloud Innovators
• Member, NVIDIA Developer Program (NVIDIA Developer)
• Active in quantum finance, market infrastructure, and explainable AI

• Architected, built and deployed:

  • Spezzatura Engine: deterministic event history, risk quantization
  • Veritas Protocol: audit-proof digital notary (hash chaining, DecisionID, Merkle chain)
  • Guardian AI: antifragile, explainable compliance models (temporal GNNs, drift guards)
  • Burn Engine: irreversible, cryptographically signed actions and logs

• Stack: Google Cloud Platform, NVIDIA, serverless, Python, Typescript, BigQuery, Vertex AI, OpenTelemetry, cryptography

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Visit foundlab.cloud for full architecture docs and platform details.

• LinkedIn
• g.dev/alexbolson
• foundlab.cloud

Building trust, auditability and resilience at the foundation of financial markets.