About RevTeq
RevTeq designs and delivers intelligent systems where AI, blockchain, IoT, and geospatial layers must work together under real governance, procurement, and operational constraints.
Mission & vision
Mission
Help enterprises and public institutions ship trustworthy digital capability—agents, data platforms, assured records, and spatial operations—without trading off safety, auditability, or long-run maintainability.
Vision
Be the partner teams call when a programme cannot afford brittle point solutions or hype-driven pilots that never reach production.
Core values & approach
Outcome before tooling
We start from decisions, risks, and KPIs—not from a vendor catalogue. Technology choices follow the problem, not the reverse.
Governance by design
Security, privacy, lineage, and human oversight are embedded in workflows—not patched in after an incident or audit finding.
Integrated delivery
AI, ledger patterns, device telemetry, and GIS are composed as one architecture where programmes require convergence, not four siloed workstreams.
Honest trade-offs
We document unknowns, failure modes, and operational cost so executives can sponsor programmes with eyes open.
Leadership overview
Placeholder profiles and headshots—replace with named leadership and approved photography when ready.
- LP
Leadership — Delivery
Managing Principal
Owns engagement model, risk framing, and executive alignment across large programmes.
- AI
Leadership — AI & Data
Principal, AI / ML
Guards model lifecycle, evaluation, and production patterns for agents and analytics.
- PI
Leadership — Infrastructure
Principal, Platforms & IoT
Shapes edge-to-cloud architectures, connectivity, and reliability narratives for operational teams.
- SR
Leadership — Assurance
Principal, Security & Records
Aligns immutable records, identity, and compliance evidence with sector expectations.
History & milestones
- Founding
RevTeq formed around converged stacks
Founded to avoid disconnected AI, chain, IoT, and GIS suppliers on the same critical programmes.
- Growth
National-scale geospatial and IoT work
Repeatable patterns for telemetry, twins, and executive reporting in infrastructure-oriented contexts.
- Today
Agentic systems in regulated settings
Delivery emphasis on tool use, citations, and controls suitable for government and enterprise boards.
Technology expertise
- Agentic workflows, RAG, and model operations (MLOps, evaluation, monitoring)
- Blockchain and tokenisation patterns where integrity and provenance matter
- IoT ingestion, edge strategies, and fleet management
- Geospatial platforms, digital twins, and spatial analytics
- Cloud-native integration, APIs, and enterprise identity
Certifications & affiliations
- Architecture and security reviews mapped to common enterprise control frameworks
- Vendor-neutral posture—integrations chosen per client standards
- Ongoing training on emerging AI safety and data-protection expectations (programme-specific counsel for legal sign-off)
- [Certification placeholders — replace with attained badges when publishable]
Partnership philosophy
We treat partners as an extension of the client’s success: clear interfaces, shared runbooks, and no surprise commercial lock-in. Alliances are disclosed early; scopes respect who owns customer outcomes and operational first response.
What sets us apart
Converged expertise
One team conversant in AI, blockchain, IoT, and GIS reduces integration tax and vague hand-offs.
Government and enterprise tempo
Delivery rhythms that match procurement cycles, security gates, and evidence requests—not only sprint vanity metrics.
Production memory
We optimise for what happens after go-live: operations, upgrades, and staffing reality—not demo day only.
Explore partnerships or a programme discussion
We respond fastest when objectives, timelines, and constraints are on the table.