Systems that don't talk to each other
Core business systems operate as silos, forcing teams to manually reconcile data between them.
Data Engineering & Integration
Connect scattered systems into pipelines you can actually trust.
Novatore Solutions builds the data pipelines and integrations that connect your applications, third-party tools, and internal systems. We turn scattered, inconsistent data into a reliable foundation for reporting, AI, and day-to-day operations.
Challenges
WHAT GETS IN THE WAY
CHALLENGES WE SOLVE
The reasons data stays scattered even after teams try to fix it themselves.
Pipelines that break silently
Without monitoring, a broken integration can feed bad data into reports for weeks before anyone notices.
No one owns the data infrastructure
Pipelines get built ad hoc by whoever had time, with no documentation or clear owner when something breaks.
Legacy systems blocking modernization
Old systems hold critical data hostage in formats that are hard to extract, migrate, or integrate with modern tools.
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Get Expert advise
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Service
We Offer Data Engineering & Integration Services
From a single API connection to a fully automated, monitored data backbone.
Data pipeline design & build
We design ETL/ELT pipelines that move data reliably between your applications, databases, and analytics tools.
System & API integration
We connect CRMs, ERPs, payment systems, and internal platforms so data flows automatically instead of through manual exports.
Data warehouse implementation
We set up and structure cloud data warehouses that support reporting and analytics at scale.
Legacy data migration
We migrate data from legacy systems into modern platforms without losing history or integrity.
Real-time data streaming
We build streaming pipelines for use cases that need near-instant data, like tracking and live dashboards.
Data quality monitoring
We build validation checks that catch bad or broken data before it reaches your reports or models.
Process
From mapping your data landscape to pipelines your team can trust and extend.
A three-phase engagement that moves from workflow mapping to a governed, production agent.
Phase 1: Map the Data Landscape
Timeline: 1-2 weeks
We inventory your current systems, data sources, and pain points around data quality and access before designing anything.
Deliverables:
- Data source and system inventory
- Gap analysis on current data quality
- Integration priority list
- Target architecture proposal
- Data ownership and access mapping
Phase 2: Build the Pipelines
Timeline: 3–7 Weeks
We build and test the pipelines and integrations, validating data accuracy at each stage before going live.
Deliverables:
- Working pipelines connecting priority systems
- Automated data quality checks
- Error handling and alerting setup
- Documentation of data flows and transformations
- Rollback plan for pipeline failures
Phase 3: Operate & Scale
Timeline: 8 weeks and ongoing
We monitor pipeline health and extend integrations as new systems and data sources come online.
Deliverables:
- Pipeline monitoring dashboard
- Incident runbook for data issues
- Scaling roadmap for new integrations
- Monthly data quality report
- Handoff documentation for internal teams
Benefits
What You Gain
No more manual exports
Stop relying on manual spreadsheet exports and copy-paste between systems that don't talk to each other.
Data your reports can trust
Get consistent, validated data feeding your dashboards, so nobody has to double-check the numbers by hand.
Less time firefighting broken pipelines
Reduce the engineering hours spent debugging silent data failures after they've already caused a problem.
A foundation ready for AI and analytics
Prepare your data infrastructure now so future AI and analytics initiatives don't stall on data readiness.
Faster answers when it matters
Cut the lag between data landing and being usable, so decisions don't wait on manual cleanup.
Use Cases
Data engineering, mapped to your industry
AI in Healthcare
We build data pipelines for HealthTech platforms where every integration needs to respect patient data handling requirements.
Integrate EHR, scheduling, and billing systems securely.- Apply masking and access controls to sensitive data flows.
- Build audit-ready logging into every pipeline stage.
- Support real-time data needs for care coordination tools.
Case Studies
Proven Builds, Not Just Prototypes
Projects Of Novatore Solutions
Data EngineeringNext.js
GH Sprinter
Novatore built the data layer behind GH Sprinter, a Next.js and TypeScript logistics platform that connects delivery requests, quotes, real-time tracking, invoicing, and driver workflows across Quebec and all of Canada.
OUTCOME
A connected data layer synchronizing delivery requests, tracking, invoicing, and driver workflows in real time.
Challenge: Delivery requests, quotes, tracking, invoicing, and driver workflows ran on disconnected systems, leaving dispatchers and drivers working from inconsistent, outdated information across Quebec and Canada.
Solution: Novatore built a real-time data layer on Next.js and TypeScript, unifying delivery requests, tracking, invoicing, and driver workflows into one synchronized source of truth
Result: Dispatchers, drivers, and customers now work from the same live data, cutting manual reconciliation and reducing delays across the platform.
Data Engineering Energy & Logistics
OneH2
Novatore contributed to the data integration behind OneH2's logistics solution, connecting fleet, supply chain, and demand data on a React and Node.js platform so energy companies could manage 24/7 hydrogen fuel operations from one system.
OUTCOME
Integrated fleet and supply-chain data feeding a single operational view instead of disconnected system silos. Alt text (image): Dashboard screenshot of the OneH2 hyd
Challenge: Fleet, supply chain, and demand data lived in disconnected systems, making it difficult for energy companies to manage 24/7 hydrogen fuel operations from a single view.
Solution: Novatore contributed to a React and Node.js data integration layer, connecting fleet, supply chain, and demand data into one unified system.
Result: Energy companies now manage hydrogen fuel operations from a single operational view instead of stitching together disconnected silos.
Real EstateData Engineering
Permit Place
Novatore supported the data and document workflows behind Permit Place, built on React and Laravel, helping the firm manage due diligence, permit packet submissions, and fee calculations in one connected system instead of scattered files.
OUTCOME
Consolidated document and data workflows replacing scattered file-based due-diligence and permit processes.
Challenge: Due diligence, permit packet submissions, and fee calculations relied on scattered files, making real estate workflows slow to track and manage.
Solution: Novatore supported a React and Laravel platform connecting document and data workflows, bringing due diligence, permit submissions, and fee calculations into one system.
Result: The firm now manages due diligence, permit submissions, and fee calculations from one connected system instead of scattered files.
Tools & Technologies
Technologies We Build With
Our strategy engagements are grounded in the same tools our delivery teams use, so roadmaps reflect what's actually achievable with today's AI platforms.
FAQ
Frequently Asked Questions
What clients typically ask before building an AI agent into their operations.
Yes, we regularly connect platforms like Salesforce, HubSpot, and custom ERPs into unified data pipelines.
We apply access controls, encryption, and masking where required, and design pipelines around your compliance needs.
We start with a data quality assessment and build validation rules directly into the pipeline so issues get caught early.
Yes, we build streaming pipelines for use cases like live tracking, monitoring, or operational dashboards.
A single system integration usually takes two to four weeks; a broader multi-system pipeline project runs six to ten weeks.
No, we build and test pipelines alongside your existing processes, cutting over only once the new pipeline is validated.
We document everything for your internal team, and can also continue supporting and extending the pipelines under an ongoing engagement.
Your Go To Business Partner
Why Novatore
An AI-Native technology partner
We combine strategy and delivery to build what actually ships, from roadmap to production.
Teams Which Deliver
Strategists, engineers, and QA specialists work as one team to turn plans into software fast.
Full-stack technical depth
React, Next.js, Node.js, Flutter, and Laravel expertise, paired with modern AI and cloud tooling, covers the full delivery lifecycle.
US, UK, and Canadian Clients
We work inside the timelines, communication norms, and compliance expectations our North American and UK clients require.
Backed by 38+ shipped platforms
38+ products delivered from concept to production across HealthTech, FinTech, retail, and SaaS, with proven experience.
We Are Just One Click Away
Ready to stop stitching data together by hand?
Book a discovery call with Novatore Solutions and let's map the pipelines that will finally connect your systems.
