Engineering company for intelligent software systems

CraftIQbuilds calm, capable software systemsfor serious teams.

AI products, SaaS platforms, backend systems, automation infrastructure, and engineering delivery shaped with product clarity and production discipline.

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Case studies

Product-level proof.
Engineering
depth.

CareerPulse AI

AI career intelligence platform for resume analysis, role-fit scoring, and subscription-ready recommendation delivery.

Key points

Role-fit scoring workflow
ATS review pipeline
Subscription-ready delivery

Problem

Career guidance tools often stop at shallow suggestions. CareerPulse AI needed to combine product usability with structured analysis users could act on.

Engineering approach

CraftIQ shaped a layered SaaS architecture with product UI, API orchestration, cached recommendation flows, and report-generation paths that support repeatable analysis instead of one-off outputs.

Business outcome

Result: product-ready foundation for candidate intelligence, ATS review, and guided decision-making at subscription scale.

Live Demo GitHub

Seno

Autonomous executive communication system for inbox processing, approval routing, and action-aware coordination.

Key points

Human-in-loop approvals
Confidence-based routing
Multi-channel execution

Problem

Executive communication creates repetitive operational drag when ingestion, context, response, and approvals remain fragmented across tools and people.

Engineering approach

CraftIQ designed a controlled automation layer spanning email understanding, confidence-based action classification, human approval workflows, and downstream calendar or messaging execution.

Business outcome

Result: governed workflow automation that improves response velocity without removing operational control from decision-makers.

Live Demo GitHub

NSDDoS

Distributed cyber defense framework for simulating, detecting, observing, and mitigating IoT-targeted DDoS activity.

Key points

Live topology surface
Detection-to-mitigation path
Distributed lab orchestration

Problem

Security demos often fake system depth. NSDDoS required real operator visibility, distributed lab behavior, telemetry movement, and mitigation pathways that behave like serious infrastructure.

Engineering approach

CraftIQ linked network simulation, telemetry, controller orchestration, anomaly analysis, and response flows into one engineering surface built for defensive experimentation and operator workflows.

Business outcome

Result: stronger platform for security validation, live topology inspection, and detection-to-mitigation workflow design under adversarial conditions.

PyPI GitHub

ScribbleQ

AI productivity workspace for structured drafting, workflow-aware content operations, and accelerated knowledge work.

Key points

AI-assisted draft engine
Workflow-aware content routing
Structured production loop

Problem

Content tools become noisy fast when drafting, organization, workflow state, and AI actions live in disconnected surfaces.

Engineering approach

CraftIQ framed ScribbleQ as a product system: editor surface, orchestration layer, workflow queue, and delivery loop tuned for repeatable production instead of isolated prompts.

Business outcome

Result: clearer path from idea capture to generated output, with product structure that supports ongoing iteration and operational consistency.

Live Demo GitHub

Services

Engineering services shaped for real delivery.

AI systems and applied intelligence

Production AI agents, ML-assisted workflows, retrieval-backed systems, evaluation-aware product logic, and intelligent execution layers.

SaaS and software product engineering

User-facing platforms, full-stack applications, admin systems, internal tooling, and product architectures built for delivery beyond prototypes.

Backend, APIs, and automation infrastructure

Service design, workflow automation, cloud deployment, integration systems, observability-aware execution, and reliable operational foundations.

Capabilities

Quiet depth behind product delivery.

Backend architecture

API engineering

Automation systems

Cloud deployment

Distributed services

Security-first engineering

AI agent execution

Research and systems thinking

Process

Build path designed for product
clarity and engineering control.

Frame system

Define business objective, product surface, core constraints, and technical pressure points.

Design architecture

Shape delivery path across product, backend, AI, infrastructure, and operational interfaces.

Build and validate

Ship incrementally with production-minded QA, clear seams, and measurable engineering outcomes.

Harden and support

Prepare runtime behavior, change velocity, support channels, and long-term ownership patterns.

Delivery over decorationArchitecture before noiseProduct and systems in same loop

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Bring your next
system to life.

CraftIQ partners with teams building serious software: AI agents, SaaS platforms, automation infrastructure, internal tools, and production backend systems.

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