Intelligence, engineered.
Judgement, human.
RedTorch pairs a fusion analyst team with self-improving models on sovereign, on-prem compute — investigative services, AI consulting, and doctrine-grounded training data for systems that reason today, and act tomorrow.
Two practices. One platform. Every major vertical.
Evidence, not opinion.
Due diligence, background investigations, litigation support, digital forensics, fraud, asset recovery, counter-espionage — evidence presented without judgement, so you reach your own conclusions.
AI adoption, grounded in practice.
Board-level AI/ML strategy, implementation and operational support, datacenter architecture, autonomous systems, agentic resilience — from a firm that has run its own sovereign stack for a decade.
From a single case to a standing capability.
Most client relationships begin with one engagement and mature into long-term retained programs. Some clients have been with us continuously for over nine years.
Discreet, case-based engagements for individuals and families — background investigations, reputation, content removal, personal risk.
Ongoing programs for corporations, law firms, and insurance carriers — elevated limits, 24/7 ad-hoc access, embedded legal support, actuarial and underwriting workflows.
Local, state, and federal support services, law-enforcement assistance, and regulated-sector programs — delivered under the compliance postures those environments require.
Put a decade of applied AI/ML behind your own casework.
Investigative firms, law practices, and specialist consultancies can run their work on the RedTorch platform — white-labeled under your brand, or as a vendor relationship. Your clients, your cases, our engine.
Compliance is not a layer we added. It is doctrine.
GRC sits in the platform core, at the same level as investigative doctrine. Provenance, sanitization, and regulatory mapping are enforced by construction — in how cases are worked, how data is structured, and how models are trained.
Training data that teaches models how to investigate — and how to decide.
A decade of human–machine teaming, structured across NAICS- and SIC-mapped taxonomies with doctrine-level granularity. Datasets and streams for frontier labs, open-weight labs, and vertical builders — the substrate for agents that must reason over long horizons in the world as it actually is.