Crunch-IS

Crunch-IS is a trusted digital solutions company helping enterprises and startups to empower their digital transformation. Have a project to discuss?

We bring together the best engineering talent and wide technological expertise to meet the business needs of every customer. Industries we are experts at:
- Healthcare
- Fintech
- Insurtech
- Logistics & supply chain
- Media & entertainment
- Retail

We can help you with:

Team Extension (get additional capacity for your company)

Managed Team (save time and effort by delegating all or part of you

r development processes to us)

Digital Consulting Services (keep up with the global market trends and use the latest technology advancements)

Our expertise:
- Software development
- Data science
- UI/UX design
- DevOps

We love partnering with companies that have great ideas and look forward to implementing them. Drop us a line at [email protected] and our managers will get back to you within 24 hours.

23/02/2026

Customers no longer interact with your brand in one place. They move between websites, portals, apps, email, social media, and expect a seamless experience everywhere.

Most companies still manage this with disconnected tools.

In our latest article, we break down what a Digital Experience Platform (DXP) is and why it has become essential for organizations seeking to unify content, customer data, and operations into a single intelligent system.

Inside the article:

- the real difference between a DXP and a traditional CMS;
- how DXPs eliminate data silos and connect marketing, sales, and support;
- how B2B customer portals become smarter with personalization and automation;
- why AI agents and intelligent automation are shaping the next generation of DXPs.

Read the full article here: https://crunch-is.com/blog/what-is-a-digital-experience-platform/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_blog_what_is_a_digital_experience_platform

16/02/2026

Oil & Gas companies generate massive volumes of operational data daily, but most is never acted on.

Smart analytics and automation change that.

In our latest article, we explore how oil & gas operators use real-time analytics, predictive models, and intelligent automation to reduce downtime, prevent failures, and improve safety and ESG performance.

Inside the article:
- how SCADA, IoT, and operational data streams turn into predictive insights
- how real-time analytics supports upstream, midstream, and downstream decision-making
- how predictive maintenance reduces costs and nearly eliminates unexpected failures
- how workflow automation coordinates inspections, compliance, and maintenance
- what digital oilfields and intelligent operations look like in practice
- how AI, automation, and ERP integration enable end-to-end operational control

If your company is looking to move from reactive operations to proactive, data-driven performance, this guide provides a clear, practical overview of what works.

Read the full article here: https://crunch-is.com/blog/smart-analytics-and-automation-oil-and-gas/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_blog_smart_analytics_and_automation_oil_and_gas

12/02/2026

Real-time synchronization of clinical data across EHR and PMS systems, securely and at scale.

A fast-growing US dental practice network operating both a primary EHR and a separate Practice Management System required standards-based interoperability that would not disrupt care delivery.

As the organization expanded, maintaining consistent, up-to-date patient data across systems became critical to operations.

Their goals were to:
- Maintain consistent EHR and PMS data at the point of care.
- Implement HL7 FHIR interoperability in compliance with HIPAA and GDPR requirements.
- Unify authentication across on-prem and cloud systems using SSO.
- Provide auditable logs and governed change management without disrupting clinical workflows.

What we did:

We designed and implemented a standards-based interoperability architecture that enables secure, real-time, bidirectional data exchange.

- implemented FHIR-based middleware to normalize, validate, and route clinical data
- enabled real-time, bidirectional data exchange over secure APIs
- unified identity and access management with SSO and token-based authorization
- established secure connectivity between on-prem systems and AWS
- delivered centralized logging, monitoring, and audit controls
- built an extensible integration layer to support future clinic and vendor onboarding

Results:
- enabled real-time access to synchronized medication and procedure data across systems
- standardized data exchange with HL7 FHIR, reducing long-term integration complexity
- unified access and security through SSO, JWT-based authorization, encryption, and comprehensive auditability
- increased operational reliability through centralized monitoring, alerting, and backups
- simplified onboarding for new clinics, vendors, and system modules

The result is a scalable interoperability foundation that supports daily clinical operations and enables future growth.

Read the full case study: https://crunch-is.com/case-study/healthcare-interoperability-at-scale-standards-based-ehr-pms-synchronization/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_case_healthcare_interoperability_at_scale

28/01/2026

51% faster sales cycles and a 34% increase in sales — by turning a phone camera into a distributor sales tool.

A US-based chemical manufacturing and distribution company needed a practical way to help distributors sell a complex product portfolio.

Because they managed hundreds of products for diverse surfaces, sales teams needed a more efficient, consistent way to receive field guidance.

To address this, the team set out to shorten distributor sales cycles, improve recommendation accuracy, and validate AI-assisted selling with a prototype.

What we did:
We designed, built, and validated an AI-based mobile experience that turns surface recognition into practical sales guidance:
- an interactive prototype covering capture, recognition, and recommendations
- a mobile app with image-based surface classification
- step-by-step cleaning guidance tailored to the recognized context
- admin tooling to manage labels and product mappings
- analytics to measure accuracy, latency, and user flows
- a production release with privacy, telemetry, and monitoring in place

The solution evolved in stages: (0) Concept & UX Validation, (1) Proof of Concept, (2) MVP and App Store Release, and (3) Model Ownership and Improvement.

Results:
- 51% faster sales cycle
- 34% increase in sales
- award-winning conference demo validating market demand
- production-ready mobile app with analytics, privacy, and monitoring in place

The company now benefits from a durable sales enablement tool that improves through real-world use and model ownership.

Read the full case study: https://crunch-is.com/case-study/ai-poc-development-of-an-ai-based-mobile-app-for-image-recognition/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_case_ai_ai_poc_development_of_an_ai_based_mobile_app_for_image_recognition

14/01/2026

When self-service works, 30–50% of routine requests are resolved without human support.

Our client set out to build a Services Portal — a single, digital entry point where customers can access and monitor all services across the ecosystem. It’s a UK-based IT infrastructure and services leader, supporting enterprise and public-sector customers across a complex ecosystem of platforms, vendors, and internal teams.

They wanted to build a single customer experience portal that:
- centralizes access to services, documents, and support
- integrates safely with legacy systems and third-party tools
- scales across ~10 internal departments and a large customer base
- improves CX without disrupting ongoing operations

What we did:
We designed and built a unified customer experience portal that became the digital entry point for all services:
- guided, self-service onboarding with automated role and entitlement setup
- centralized user and service management
- single sign-on across internal platforms and vendor portals
- secure document management with granular access control and audit trails
- real-time visibility into tickets, service health, and KPIs
- integrated support flows with optional AI assistance
- a searchable knowledge and resource center to reduce repeat requests
- built-in feedback loops to prioritize features based on real usage
- a contextual marketplace for add-ons and expanded services

Results:
- 30–50% self-service success rate, significantly reducing routine support load
- faster onboarding and time-to-first-value for new customers
- one centralized entry point for services, users, documents, and reporting
- stronger security and compliance through SSO, RBAC, and full auditability

The portal is now a core operational asset continuously evolving as the client’s services grow.

Read the full case study: https://crunch-is.com/case-study/customer-experience-portal-development-for-it-infrastructure-leader/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_case_customer_experience_portal_development_for_it_infrastructure_leader

08/01/2026

Microsoft's latest report positions AI as a strategic partner driving innovation.

Here are the 7 key trends that will shape the technology landscape in 2026:

1. Amplifying Human Achievement

The focus is on AI amplifying human achievement, aiming to unlock and enhance human potential rather than replace it.

By 2026, “digital coworkers” will empower small teams to deliver significant projects, such as a three-person group launching a global campaign. AI will manage data analysis and content production, while human colleagues focus on guiding strategy.

2. New Safeguards for the "Silicon Workforce"

As AI agents become integral teammates, organizations will extend security protocols to these agents, mirroring the standards applied to human employees. Risk mitigation will involve clear identity and access management. Security measures will be autonomous and integrated throughout all systems.

3. Shrinking the Global Health Gap

Facing a potential shortage of 11 million health workers by 2030, AI will support real-world medical tasks, including symptom triage and treatment planning.

4. AI as a Research Partner

Within research environments, AI will participate directly in the scientific process. In fields such as physics, chemistry, and biology, AI will propose hypotheses and operate laboratory tools, acting as an automated assistant throughout experiments.

5. Smarter "Superfactory" Infrastructure

AI infrastructure development will shift the focus from building larger data centers to creating global, interconnected superfactories. These facilities will optimize computing resources by dynamically routing tasks to maximize energy efficiency.

6. Repository Intelligence in Coding

AI will advance repository intelligence in software engineering by comprehending the relationships, history, and context within codebases. This understanding will enable more accurate suggestions, earlier error detection, and reliable automation.

7. The Quantum Advantage Leap

A transition to quantum breakthroughs measured in years, rather than decades, is underway. Hybrid systems that combine quantum computing, AI, and supercomputers will enable highly accurate molecular modeling.

The future of technology will be fundamentally redefined by the collaboration between human creativity and AI intelligence.

If AI is central to your 2026 vision, reach out to us to collaboratively design a tailored rollout plan for your organization.

Contact us via DM or email [email protected].

23/12/2025

Warm holiday wishes from Crunch!

Thank you to everyone who partnered with us and placed their trust in our work.

Wishing you a peaceful holiday season and fresh momentum in the year ahead.

16/12/2025

Our client, a large European oil & gas transportation operator, manages hundreds of kilometers of pipeline infrastructure across remote locations.

Field teams worked in harsh environments with limited connectivity, making it difficult for the central office to reliably confirm whether maintenance tasks were actually completed.

What we did:
We built an AI-powered computer vision system designed specifically for low-connectivity, field-first environments that:
- verifies on-site maintenance activity using cameras and environmental sensors
- detects personnel presence, vehicles, and time spent on maintenance tasks
- processes data locally via edge devices to operate reliably without a stable internet
- syncs verified work logs to central systems once connectivity is available

The solution was built to withstand extreme temperatures, dust, and power interruptions — ensuring consistent data capture across remote sites.

Results:
- 65% reduction in unverified maintenance reports, giving the operator visual confirmation of completed work
- 40% improvement in maintenance scheduling by eliminating unnecessary site revisits
- Lower operational costs by preventing payments for undocumented services
- Greater transparency and accountability across the entire pipeline network

Read the full case study: https://crunch-is.com/case-study/ai-powered-predictive-maintenance-for-production-pumps-2/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_case_ai_powered_cv_for_maintenance_verification_in_o_and_g_transportation

12/12/2025

The 2026 Deloitte Manufacturing Industry Outlook signals a decisive shift: the rise of Agentic AI and Physical AI as primary drivers of industrial resilience.

The research highlights that companies with strong data foundations and digital maturity are pulling ahead faster than ever.

Strategic priorities and investment signals:
- 92% of executives agree that smart manufacturing will be the primary source of competitiveness over the next three years.
- 80% plan to allocate 20%+ of their improvement budgets to smart initiatives, automation, and data-driven optimization.
- Adoption of Physical AI (robotic systems with greater autonomy) is accelerating: 22% expect to use them within two years (twice today’s rate).

Outcomes from these implementations are already emerging:
• 10–20% increase in production output
• 10–15% increase in unlocked capacity
• 7–20% improvement in employee productivity

And yet, manufacturing will remain deeply human-led. With 81% of task hours expected to stay human-driven, the real opportunity lies in using AI to capture institutional knowledge, guide decisions, and augment workforce expertise — not replace it.

If Agentic AI is on your 2026 agenda, we’re happy to offer a free consultation to outline practical next steps.

09/12/2025

A 65% drop in unplanned downtime and 40% lower maintenance costs — that’s what our client achieved after rethinking how they monitor and service their production pumps.

The company operates rare, high-value pumping equipment, where a single unexpected failure can ruin an entire production batch.
Their challenge was the absence of a clear maintenance history and the complexity of the pumps’ interdependent subsystems.

What We Did:
To build a reliable predictive maintenance system, our team developed an AI-driven framework that combined engineered sensor features, statistical modeling, and iterative real-world validation.

In practice, this included:
- structuring and synchronizing time-series data from multiple pump sensors
- performing exploratory analysis to identify early indicators of degradation
- testing and comparing multiple ML approaches to find a model capable of stable, high-confidence predictions
- running a human-AI validation loop where operators compared model alerts with real checks across several maintenance cycles

Eventually, components flagged for replacement by the model were disassembled — revealing that they were indeed near failure. This confirmed the system’s reliability and accelerated adoption.

Results:
The new solution fundamentally changed how the company plans maintenance and manages operational risk:
- 90% prediction accuracy, validated over multiple maintenance cycles
- 65% reduction in unplanned downtime, preventing batch losses
- 40% lower maintenance costs, thanks to timely component replacement
- improved production reliability and fewer QA-related disruptions

The project also gave the client a clean, structured dataset — a foundation they can now use for further automation and advanced predictive analytics.

Read the full story here: https://crunch-is.com/case-study/ai-powered-predictive-maintenance-for-production-pumps/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_case_ai_powered_predictive_maintenance_for_production_pumps

04/12/2025

Nothing beats in-person connections.
Our team recently had the opportunity to visit London and Manchester to meet with some of our valued clients and partners. It was a pleasure to connect face-to-face, exchange ideas, and strengthen our relationships.
We’re excited to build on these discussions and drive results together!

25/11/2025

Our client is a leading provider of social housing software in its niche. They were overloaded with manual tasks and faced challenges with their extended ColdFusion-based platform; landlords needed a way to manage campaigns independently, without relying on Support.

What we did:
Over 12+ months, our team of 10 specialists designed and built modules for a self-service customer portal.

The delivered solution included:
- Project planning from scratch and business analysis to align delivery with business needs; ongoing BA support ensures the platform evolves with only essential, high-value features.
- UX/UI redesign.
- An operational dashboard with advanced filters and unified access to manual and automated tasks.
- A two-tier task-management solution.
- AWS-based integrations enabling centralized campaign data and real-time updates.
- Automated testing to improve release reliability and reduce regression risk.

Client results:
- Reduced operational workload through automation of repetitive engagement tasks.
- Faster platform performance and higher interaction throughput without increasing internal resources.
- More consistent and proactive communication with tenants.
- Stronger compliance support through structured follow-ups and reminders.

This ongoing collaboration continues to extend the platform and add AI-powered features.

If you want the full breakdown, read the full case study here: https://crunch-is.com/case-study/customer-portal-development-for-social-housing-providers/?utm_source=Facebook&utm_medium=social&utm_campaign=cm_case_customer_portal_development_for_social_housing_providers

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