01 / SERVICE
AI
Build intelligent products that understand context, retrieve knowledge, and work reliably with real-world data.
Explore AIAI SYSTEM VIEW
Business Data→Retrieval→AI Reasoning→Verified Response
INPUT → LOGIC → OUTPUTDECODED / 01
AI + Automation + Digital Products
Decoding complexity into intelligent systems.
We build AI systems, automation, full-stack and mobile products, and AI-ready data workflows that turn fragmented operations into working technology.
Built around real workflowsEngineered for production
DECODING ENGINE / LIVE SYSTEM VIEWACTIVE
Manual tasks
CRM
Email
Documents
Customer data
DECODING LAYER
AI Agent
Business Logic
API + Database
Updated CRM
Qualified lead
Report ready
Completed task
05 INPUT TYPES03 SYSTEM LAYERS04 OUTPUTS
Technology we work with
- OpenAI
- Claude
- Gemini
- LangChain
- LangGraph
- CrewAI
- n8n
- Make
- Zapier
- Python
- FastAPI
- Node.js
- Next.js
- React
- TypeScript
- Tailwind CSS
- PostgreSQL
- Supabase
- MongoDB
- Docker
- AWS
- Vercel
- Render
- Slack
- ClickUp
- Google Sheets
- pandas
01 / Capabilities
Five capabilities.
One connected system.
From data and AI to software products and operational automation, we design around what the business needs to achieve.
02 / SERVICE
AI Automation
Connect AI, applications and teams in workflows that eliminate repetitive tasks and move information where it needs to go.
Explore AI AutomationAI AUTOMATION SYSTEM VIEW
Business Trigger→Connected Tools→AI / Logic→Automated Action
INPUT → LOGIC → OUTPUTDECODED / 01
03 / SERVICE
Full Stack Development
Build full-stack digital products from polished user interfaces to reliable databases, APIs and integrations.
Explore Full Stack DevelopmentFULL STACK DEVELOPMENT SYSTEM VIEW
Product workspace
INPUT → LOGIC → OUTPUTDECODED / 01
04 / SERVICE
Mobile App Development
Mobile products designed around the connected services, authentication, notifications and data flows they depend on.
Explore Mobile App DevelopmentMOBILE APP DEVELOPMENT SYSTEM VIEW
INPUT → LOGIC → OUTPUTDECODED / 01
05 / SERVICE
Data Annotation and AI Data Services
Prepare complex text, image, audio, video and domain-specific datasets with guideline-driven annotation and independent quality control.
Explore Data Annotation and AI Data ServicesDATA ANNOTATION AND AI DATA SERVICES SYSTEM VIEW
SEGMENTATION
TRACKING
ENTITY LABELS
QC VERIFIED
INPUT → LOGIC → OUTPUTDECODED / 01
02 / How we work
Decode. Design. Deploy.
We start with the process, then the architecture, then the implementation, not the other way around.
01 / 04
Discover
Understand the users, workflow, constraints, success criteria and existing tools.
02 / 04
Architect
Plan the application, data model, integrations, error paths and approvals.
03 / 04
Build
Develop iteratively with validation, working integrations and appropriate testing.
04 / 04
Deploy
Launch, monitor, document and hand over a system that can be maintained.
03 / Selected work
What we have built.
13 documented AI, automation, software and data annotation projects. Four examples are featured here.
01 / AI Systems
Daleel: AI-Powered Islamic Content Verification
A source-grounded AI backend for checking Islamic references in shared social content.
REFERENCE PIPELINEILLUSTRATIVE UI
02 / AI Systems
Dog Training AI Assistant
Bilingual RAG and personalization system for dog behaviour and training guidance.
RETRIEVAL + MEMORYILLUSTRATIVE UI
03 / AI Systems
AI Brain: Internal Operations Assistant
One conversational interface for internal project and team communication data.
TOOL-ROUTING ENGINEILLUSTRATIVE UI
04 / AI Automation
Amazon Competitor Listing Change Tracker
Scheduled detection and AI explanation of competitor listing edits.
CHANGE DETECTIONILLUSTRATIVE UI
04 / Why Decoding Bits
Engineering is the difference.
A considered architecture matters long after the demo is over.
01
Systems first
Understand the business workflow before selecting the technology.
02
Automation that operates
Design for edge cases, live data, integration errors and retries.
03
AI with guardrails
Use relevant data, validation, permissions and human approval where necessary.
04
Built for handover
Maintainable components, clear documentation and traceable operations.
05 / Verified impact
Less busywork.
More momentum.
Selected outcomes from two documented Amazon automation projects.
LISTING CHANGE MONITORING
~95%
Reduction in manual monitoring workload for a competitor listing tracker.
AMAZON PRICE TRACKING
~98%
Reduction in repetitive manual price-monitoring work.
AMAZON PRICE TRACKING
50×
Up to 50 times faster processing than the previous manual workflow.
06 / Start a project
Have a workflow worth decoding?
Tell us what's manual, disconnected or difficult to scale. We can discuss the software, AI or data workflow behind the challenge.
Direct contact · Data services
ops@decodingbits.com ↗PROJECT INQUIRY / PREVIEW