Turn unknown critical systems into governed, modern, quantum-safe infrastructure.
QBITEL helps enterprises discover, understand, modernize, protect, and prove control over systems they cannot easily replace: BPO call centers, IoT fleets, defense networks, banking mainframes, telecom cores, healthcare devices, and industrial infrastructure.
What the workflow produces
One operating sequence instead of disconnected feature claims.
Turn mirrored traffic into a living protocol graph.
QBITEL learns undocumented message types, fields, dependencies, ownership, and modernization risk from the traffic you already have.
Explain behavior, business meaning, risk, and failure patterns.
QBITEL turns raw protocol and system signals into operator-ready intelligence: what the system does, why it matters, where it fails, and which risks deserve action.
Generate specs, adapters, APIs, and migration blueprints.
Move from reverse engineering to usable deliverables: reviewed protocol specs, adapter stubs, OpenAPI contracts, SDKs, and rollout plans.
Add PQC without replacing the systems that run the business.
Apply domain-aware ML-KEM, ML-DSA, hybrid key exchange, and runtime policy controls at the network and service boundaries where change is acceptable.
Prove what changed, why it changed, and how it is controlled.
Bundle protocol lineage, approvals, SBOMs, attestation, and audit evidence into one enterprise-ready record for architecture, security, and compliance teams.
One platform. Vertical solution packs.
QBITEL stays unified at the platform layer while each industry gets protocols, datasets, compliance mappings, risk models, and deployment playbooks tailored to its operational reality.
Unknown critical systems
BPO voice platforms, IoT fleets, mainframes, defense networks, OT systems, and telecom cores still depend on protocols and workflows few teams fully understand.
Modernization without replacement
Teams need reviewed specs, adapters, APIs, and replay harnesses before they can move anything safely into a modern architecture.
Future risk with real constraints
Organizations need fraud reduction, cyber resilience, PQC migration, and regulatory proof that fit latency, certification, uptime, and air-gap boundaries.
Interactive Platform Explorer
Explore the five-module workflow and switch between vertical messages without leaving the page.
Platform Modules
One product surface. Five linked workflows.
Shift the story from a bundle of disconnected features to an operating sequence: discover the estate, understand behavior and risk, generate modernization assets, apply quantum-safe protection, and prove control with evidence.
Turn mirrored traffic into a living protocol graph.
QBITEL learns undocumented message types, fields, dependencies, ownership, and modernization risk from the traffic you already have.
- Protocol asset records with confidence scoring
- System and dependency graph for legacy estates
- Crypto posture baseline and risk hotspots
- Analyst-ready protocol evidence in hours, not quarters
Bring Your Own Domain Data
Visitors should not have to imagine the product. They can paste BPO, IoT, defense, banking, OT, healthcare, telecom, or mobility samples and see an explainable QBITEL workflow in the browser.
Interactive Demo Lab
Test the vertical story with your own sample data.
Pick a domain, paste representative traffic or logs, and see an explainable QBITEL-style output: discovered protocols, risk signals, modernization path, protection controls, and evidence artifacts.
BPO / Call Center
Paste SIP/RTP, IVR, call log, or payment-call metadata
- Maps voice call paths across SIP trunks, IVR, agents, recording, and CRM systems.
- Flags toll fraud, payment leakage, voice phishing, and client-audit exposure.
- Produces PCI and client-assurance evidence for the protected voice path.
Explainable output path
Discover
Identifies bpo / call center protocols, systems, flows, and ownership hints from the submitted sample.
Understand
Explains behavior and risk using 4 risk signals and domain-specific context.
Modernize
Prepares a protocol asset record, field map, replay fixture, and adapter/API candidate for review.
Protect
Recommends policy controls, gateway protection, fraud/threat rules, and PQC posture where operationally appropriate.
Prove
Packages call-flow map and fraud indicators with lineage, approvals, and evidence.
3 explainable signals found
Protocol signals detected
lowMatched INVITE, SIP/2.0, RTP, call-id, dtmf. QBITEL would use these to seed the protocol asset record and confidence score.
Risk indicators detected
highFound premium, dtmf, card, recording. These terms drive risk scoring, protection recommendations, and evidence-pack priority.
Enough sample structure for replay
lowThe input has enough structure to generate a replay fixture, validation checklist, and first-pass field map.
Interactive Program Outcome Model
Compare a manual modernization effort against a QBITEL-style delivery motion using your own ranges.
Compare the legacy program against a QBITEL-style motion.
Use realistic ranges from your program and see what changes when protocol discovery, generated integration assets, and PQC planning are part of one workflow.
vs manual reverse engineering and one-off integration work
across discovery, handoff, and validation cycles
for a modernization-led program
Capture traffic, classify systems, and produce a first-pass protocol inventory.
Produce reviewed specs, evidence artifacts, and the first set of generated integration assets.
Apply policy-driven rollout gates, replay validation, and a migration sequence for the first production path.
Bundle crypto posture, deployment scope, and evidence chain into a single executive-facing package.
Every delivery ends with an evidence pack
QBITEL should not stop at discovery or code generation. The differentiator is the full record of what changed, why it changed, how it was validated, and which controls govern it in production.
Rust dataplane
Performance-sensitive cryptography, transport, and enforcement surfaces.
Python AI engine
Protocol discovery, asset inference, modernization workflows, and evidence generation.
Go control plane
Policy distribution, deployment orchestration, and approval-led rollout controls.
Astro + React website
Interactive product narrative, roadmap, and implementation review surfaces.
Strong foundations exist. Several domain-specific PQC modules still need hardening.
The repo already contains credible building blocks, especially in the Rust Falcon engine and the LMS/XMSS stateful signature implementation. But multiple domain modules are still prototype-grade and should not be marketed as production cryptography yet.
Rust Falcon engine and LMS/XMSS state handling
ML-KEM and ML-DSA are viable only with strict provider enforcement
Automotive, industrial, and healthcare examples still rely on placeholders
Start with protocol inventory, then expand into modernization and PQC rollout
QBITEL is strongest when it lands as a concrete legacy modernization program with governed protection and evidence, not as a generic bundle of AI security claims.