CaQeh
LivePeer-to-peer liquidity marketplace
CaQeh matches people who need cash or digital payment support with nearby participants, using familiar rails — mobile money, banks, and cards. Built, hosted, and operated by Taxel Technologies Ltd.
Production systems · AI engineering
Production systems.
Engineered to run.
We design, build, and operate software that ships to production — payment platforms, data pipelines, and AI-backed services — with security and operability built in from the first design decision.
Platforms we operate
Live products under Taxel engineering ownership.
What we have built
Products designed, built, and in several cases operated by Taxel.
CaQeh
LiveBuilt & operated by Taxel
A peer-to-peer liquidity marketplace for everyday payments — matching people who need cash or digital payment support with participants nearby, settling over mobile money, banks, and cards.
KYConsole
Built by Taxel
Compliance and business management tooling — keeping operational, regulatory, and reporting obligations tracked in one place rather than spread across spreadsheets.
QEHFX
Built by Taxel
Prediction markets and AI trading agents on opBNB — on-chain markets with autonomous agents trading alongside participants.
VIZO·DYNAMICS
Built by Taxel
Live road intelligence — roadside sensing that turns raw signal into verified, real-time hazard data for cities, fleets, and autonomous vehicles.
4
Products designed
and built
and built
1
Payment platform
operated in production
operated in production
3
Settlement rails
integrated
integrated
6
Reusable systems
in the library
in the library
Taking a system from idea to production
Four stages, each with an output you can hold us to. Select a stage to see what happens and what you receive.
Stage 01 of 04
Discovery
We start with the system you already have — what it does, where it fails, and what has to ship. No architecture work begins until the problem is written down.
- Review the systems already in place
- Surface constraints, dependencies, and risks
- Agree success criteria in writing
Stage 02 of 04
Architecture
Data flows, service boundaries, failure modes, and deployment boundaries get documented first, so the build has a shape to follow rather than one to discover.
- Define data flow and service boundaries
- Specify integration contracts between systems
- Map failure modes and degradation paths
Stage 03 of 04
Build
Tests and environments are part of the build. Work lands in your environment as it is completed.
- Develop application, API, and integration code
- Test alongside the code as it is written
- Configure environments and deployment
Stage 04 of 04
Operate
Systems need owners after launch. Observability, release process, and escalation paths go in so problems are detectable before customers report them.
- Wire up logging, metrics, and alerting
- Establish release and rollback process
- Define ownership and escalation
Built with
- Python
- TypeScript
- React
- FastAPI
- PostgreSQL
- Redis
- Docker
- Caddy
- Prometheus
- Grafana
Engineering services
Scoped engagements with clear ownership — architecture through runbooks. Each names what is delivered and who owns it in production.
System design
Architecture for data flows, services, and integrations. We document constraints, failure modes, and deployment boundaries before writing production code.
Build & integrate
Application development, API design, model wiring, and integration with existing stacks. Delivery includes tests, environments, and handover materials.
Operate & observe
Logging, metrics, alerting, release process, and operational ownership for systems we run — including platforms such as CaQeh.
Secure by default
Access control, secrets handling, abuse resistance, audit trails, and review of AI/LLM attack surfaces where models are in the path.
What we hand over
Four layers on the request path, with access control and observability running down both sides. This is the shape most of our engagements produce.
Systems we build around
Reusable components we apply on client and internal work. Named modules, with a concrete job each.
DataWeave
DataIngest, normalize, expose
Pipelines and schemas that turn fragmented sources into queryable layers for products and analytics.
SentimentCore
LanguageClassification & extraction
NLP for intent, entities, and sentiment where text volume requires consistent automated triage.
ForecastX
ForecastingTime-series prediction
Demand, risk, and trend models combining statistical baselines with modern sequence models where they earn their keep.
What we actually put in place
Controls matched to the risk of the system in scope.
Access & secrets
Least privilege, environment isolation, and secret management so credentials never live in repos or client bundles.
Abuse resistance
Rate limits, input validation, and defense against injection and prompt-manipulation where language models are exposed.
Observability
Structured logs, metrics, and alerts with clear ownership so incidents are detectable before customers report them.
Change control
Versioned releases, rollback paths, and audit trails for configuration and model updates in production.
Have a system to build or harden?
Tell us what you are running, what is failing, or what you need to ship. We respond from hello@taxeltech.com.