iQuelo isn't a dev shop and isn't a feature factory. We architect software products from first principles of engineering — with tolerances, traceability, and a duty of care to the people whose lives and livelihoods depend on the decisions our products produce.
99.97% uptime, sub-50ms decision latency, 55+ pipelines in production across Banking, Credit, Insurance and Logistics.
FCRA, ECOA, SOC 2, BSA/AML — compliance isn't bolted on. It's encoded into the architecture, the data model, and the audit trail.
Proprietary explainable decision engine producing auditable, deterministic outputs — built around the moment AI output becomes binding action.
From original processor architecture (MAPA) and x86 ISA extensions to cloud-native runtimes — we think at every abstraction.
Each product on this page is a category we architected from first principles, then operated to production. The portfolio is not a side catalog — it is the evidence of the architectural discipline.
Crisis management platform. MVP v2.0.5, in pilot conversations with Georgia Emergency Management Agencies.
B2B sales intelligence with 8-fingerprint dedup, FPI pipeline, Stripe billing, and U.S. compliance.
The AI orchestration layer — LMCompanion library, NLU pipelines, and multi-model routing.
Production HR platform with 11 active pipelines. Powered by SignalDeck's decision engine.
Incident management and post-mortem platform for engineering teams under regulatory pressure.
Cloud-native administrative & financial SaaS — multitenant, multi-currency, parameterizable for LATAM tax and labor regimes.
Investment governance SaaS. A decision firewall that applies your own risk rules to every trade proposal and returns an auditable verdict — before you execute.
A focused operating model: principal architect ownership, an AI-augmented delivery loop, and a vetted nearshore engineering bench. Architectural decisions stay tight. Execution stays fast. Production quality stays uncompromised.
Principal architecture before any code. Tolerances, failure modes, regulatory boundaries — all defined before week one of build.
Tight collaboration with Claude, GPT and other model families across architecture, code generation, review, and documentation — multiplying principal throughput.
Eleven years of LATAM engineering relationships. Scale from 1 to 22 engineers in weeks, not quarters — without losing the architectural through-line.
Ship behind a flag in week two. Real telemetry, real logs, real SLOs. We optimize for the seventh month, not the demo.
"Software at this level isn't typed — it's composed, with the same care a structural engineer composes load paths."
We don't just build the systems — we publish the frameworks they're built on. From x86 ISA extensions to AI runtime governance.
The Execution Boundary — the narrow interval where AI output becomes binding operational action, and the missing governance layer between prediction and monitoring.
A management framing of the execution boundary — and why most AI failures in regulated industries happen there, not in the model.
Mesh-Adaptive Processor Architecture and a new x86 ISA extension proposing tile-granular performance monitoring and a Decision Logic Tile.
