AI Product Engineering
LLM-powered features built into your product: copilots, semantic search and assistants that answer from your own data.
AI-native software company · Dhaka
We design and engineer AI-powered products, intelligent automation and dependable business systems, taking you from first idea to production and beyond.
$ccc agent run invoice-intake --source inbox
›Reading 128 new emails...
›Extracting vendor, amount, due date (LLM)
✓126 invoices parsed · 2 flagged for review
›Matching against purchase orders in ERP
✓Posted 126 entries · 0 duplicates
◆Time saved today: 6h 20m
What we do
From a single AI feature to a complete platform, we combine product thinking, modern engineering and applied AI.
LLM-powered features built into your product: copilots, semantic search and assistants that answer from your own data.
Agents that read, decide and act across your tools, taking repetitive back-office work off your team's plate.
Fast, secure web applications and corporate sites engineered with modern stacks and built to scale with you.
Management systems for operations, education and commerce, with dashboards and AI insights built in.
Cross-platform iOS and Android apps with offline support, push notifications and on-device intelligence.
The groundwork that makes AI dependable: clean data pipelines, cloud infrastructure and production monitoring.
AI agents & automation
Our agents plug into the tools you already use and handle the busywork, from invoice intake and admissions to order processing and customer replies, with a human approving anything that needs judgement.
Explore AI automationRead emails, PDFs, forms and chats, and pull out the data that matters.
Classify, prioritise and route work using your rules plus model reasoning.
Update your ERP, CRM or database, notify people and draft replies.
Measure accuracy, flag edge cases for review and improve every week.
Selected work
Live platforms in education, manufacturing, retail and printing, built and supported by our team.
A secure web portal that brings students, batches, teachers and payments together in one place, replacing spreadsheets and paper registers.
Visit live siteThe digital home of a leading Bangladeshi optical fiber cable manufacturer, presenting products, projects, team and news to telecom buyers.
Visit live siteA storefront that lets shoppers browse, compare and order smartphones and accessories, with a catalogue the retail team can manage themselves.
Visit live siteA corporate website for a Dhaka-based printing house serving the apparel industry, showing its services, equipment, clients and certifications.
Visit live siteHow we work
Short cycles, working software early, and no surprises on scope or cost.
We map your workflows, data and goals, then pinpoint where AI and automation will pay back fastest.
A working prototype in weeks, not months, tested with real users and real data before we scale it.
Production engineering in short, transparent sprints, with demos every two weeks and a clean handover.
We monitor quality, cost and usage after launch, and keep improving models and features as you grow.
Quality engineering
Every feature passes through the same pipeline, and nothing moves forward until it clears its quality gate.
Goals, user stories and measurable acceptance criteria agreed up front.
Scope sign-offUX flows, prototypes and architecture shaped around real users and data.
Design reviewShort sprints with typed code, shared standards and fortnightly demos.
Peer code reviewUnit, integration and end-to-end suites, plus evaluation sets for AI output.
All tests greenCI/CD pipelines ship to staging for sign-off, then roll out safely.
Security scan + UATUptime, errors, cost and model quality tracked after every release.
SLOs metMonitoring insights feed straight back into the next sprint
Why Code Console Creations
We recommend AI only when it measurably saves time or money, and plain, reliable software everywhere else.
Private deployments, access controls and clear data-handling agreements on every engagement.
You work with the people building your product, with no account-manager layers in between.
Documented code, automated tests and infrastructure as code, so your team can own it with confidence.
Our toolkit
We stay model-agnostic and choose the right tool for each job, balancing accuracy, latency, privacy and cost.
Leadership

Co-Founder & CEO
Sets company direction and works with clients to turn business goals into product roadmaps.

Co-Founder & CTO
Leads technology and architecture, guiding every product from discovery to launch with quality built in.

Co-Founder & Full Stack Engineer
Builds end-to-end features across frontend, backend and cloud for our client products.
FAQ
Don't see yours? Ask us directly and we'll get back within one business day.
Not always. Many wins come from automating document handling, support and reporting with existing models. Where your own data adds value, we help you organise it securely first.
A focused prototype usually takes 3 to 6 weeks. Full products typically run 2 to 4 months depending on scope. We agree milestones up front and demo progress every two weeks.
Yes. We use enterprise API terms that exclude training on your data, and can deploy private or self-hosted models when compliance requires it. Access is role-based and logged.
Yes. We regularly integrate assistants, search and automation into existing web apps, ERPs and internal tools through APIs, without a full rebuild.
We offer ongoing support plans covering monitoring, model and prompt tuning, security updates and new features, or a full handover to your in-house team.
Tell us about it. In a free 30-minute call we'll map where AI and automation can save your team time, and what it would take to build.