Software, AI, and data systems built around your business.
Novriq Labs builds AI automations, custom applications, and reliable data systems that help growing teams work with less manual effort.
AI Agents & Retrieval Systems
AI, software, automation, and the data behind them.
Start with the business outcome. We can build the application, automate the workflow, and engineer the data systems that support it.
AI & Custom RAG Solutions
Useful AI systems grounded in your workflows and information.
- Custom AI agents
- LLM and API integrations
- Retrieval-augmented generation
- Predictive analytics
Workflow & Business Automation
Connect business tools and remove repeatable manual steps.
- Enterprise API integrations
- Webhook-driven workflows
- Operations automation
- Human review and exception paths
Software & Web Development
Production-minded products, applications, APIs, and backends.
- Full-stack web and SaaS applications
- Application APIs and integrations
- High-throughput backend design
- Product interfaces and dashboards
Data Engineering & Analytics
Reliable pipelines and clear, analytics-ready data.
- ETL / ELT pipelines
- Warehousing and data modeling
- Real-time and scheduled ingestion
- Validation, monitoring, and replay
See how information becomes useful work.
Choose a workflow to preview how inputs move through AI automation, a full-stack application, or a data pipeline. Examples are illustrative and do not represent a live customer system.
Route new leads with an AI-assisted workflow
A form or webhook starts the flow. An LLM extracts and classifies information against agreed criteria, then prepares a CRM update and team alert for review.
Turn a repeatable team workflow into a product
A focused web interface calls application APIs, applies business rules, and stores changes in a database. Authentication, permissions, and deployment are designed for the product's needs.
Make data from separate platforms work together
Scheduled or event-driven ingestion brings source records into a data store, where transformations, checks, and shared metric definitions prepare them for analysis.
Specialized engineering, when the system needs it.
Cloud foundations, technical SEO, and engineering workflow software can be scoped alongside a product or data engagement.
Cloud Infrastructure
Cloud architecture, deployment pipelines, and observability shaped around your application and data workloads.
Discuss scopeTechnical SEO
Site structure, metadata, performance, and crawlability improvements for software products and content sites.
Discuss scopeSystems CAD
Custom engineering tools and software integrations for computer-aided design workflows.
Discuss scopeINGESTION INVENTORY
From fragmented APIs to one reliable data layer.
Every platform holds one piece of the picture and none of them agree on dates, currencies, or what counts as a conversion. We connect to each on its own terms - auth, pagination, rate limits, schema drift - and land it somewhere the numbers can be reconciled.
Commerce
- Shopify
- E-commerce platforms
Advertising
- Google Ads
- Meta Ads
Analytics
- Google Analytics 4
CRM
- HubSpot
- CRM systems
Custom
- Internal APIs
- Partner endpoints
* Platform names describe what we integrate with. They are not customer or partner marks.
Explore data sources & protocolsReference data stack. Components are selected for each project’s needs.
A data stack shaped around your business.
Sources, storage, transformations, and analytics are chosen around the systems, volumes, and questions in scope. The data architecture supports the wider software and automation system where needed.
Data sources
Ingestion
Run status and exceptions can be made visible. Retry and replay behavior depends on source retention, API limits, and the recovery policy agreed for the system.
Data platform
Transformation
Analytics
Phases overlap. The axis below is sequence, not a schedule; we do not quote a timeline before we have seen your systems.
How an engagement runs.
Six phases from discovery through delivery, with ongoing support scoped to the system and engagement.
Discover
Understand systems, business requirements and reporting needs.
Architect
Design the data architecture and integration strategy.
Build
Implement pipelines, transformations and storage.
Validate
Test data quality, reliability and edge cases.
Deliver
Connect the analytics layer and dashboards.
Improve
Monitor, optimize and extend the system.
Frequently Asked Questions
Direct answers about service scope, engineering choices, data handling, and project planning.
Novriq Labs builds AI agents and LLM integrations, workflow automation, full-stack web and SaaS applications, and data engineering systems including API integrations, ETL/ELT pipelines, warehouses, and analytics models.
Timing depends on system access, integration requirements, and the scope of the first release. We agree on milestones after reviewing your workflows and technical constraints.
Yes. Workflows can include approval steps, confidence thresholds, audit records, and exception queues so that sensitive actions can wait for human review.
We can integrate with systems that expose APIs, webhooks, databases, or structured exports. The implementation depends on the access, permissions, and vendor limits available for each system.
Pipelines can include validation, reconciliation checks, retries, replay, and alerting. The exact controls are selected for the data sources, business rules, and recovery needs in scope.
Architecture depends on your security and operating requirements. Options may include hosted model APIs or a locally deployed model, with access controls and data handling agreed during technical scoping.
Submit an enquiry through our contact form or email [email protected] with the workflow, product, or data challenge you would like to discuss.
What are you trying to build? Let’s scope the next step.
Tell us about the product, workflow, or data challenge, along with the systems and constraints involved.
- The product, workflow, or business outcome you have in mind
- The systems, data sources, and integrations involved
- Any security, performance, or review requirements
- Anything that is already breaking