Client outcomes

Ideas into
measurable impact.

Explore how we combine practical AI, thoughtful product design and enterprise engineering to solve high-value business problems.

35%Less downtime
90%Faster processing
3.5×Qualified leads
95%AI accuracy
Connected manufacturing floor monitored by AI
01 / 07
Manufacturing · AI Digital Twin

Predicting machine failure before production stops

A mid-sized auto-components manufacturer needed one reliable operational view across two plants and more than 120 CNC machines. We built a live AI Digital Twin that converted fragmented machine signals into early warnings and practical maintenance actions.

35%Reduction in unplanned downtime
22%Improvement in overall equipment effectiveness
120+Machines connected to one operations layer
The challenge

Teams were reacting after failure

Machine data lived in isolated PLCs and shift reports. Maintenance teams had no reliable way to identify abnormal vibration, temperature or cycle-time patterns before breakdowns. Manual reporting also made plant-wide comparisons slow and inconsistent.

The solution

A real-time operational nervous system

We connected machine telemetry to a unified digital representation of every critical asset. Predictive models learned normal operating ranges, surfaced anomalies and delivered prioritized alerts with the context technicians needed to act.

What we delivered
  • Live OEE and asset-health dashboards
  • Predictive maintenance scoring
  • Temperature and vibration anomaly alerts
  • AI maintenance copilot for root-cause guidance
Technology layer
Digital TwinTime-series AIEdge DataPredictive Analytics

Business impact Maintenance shifted from reactive work orders to planned intervention, increasing production continuity without adding headcount.

Private AI processing clinical documents
02 / 07
Healthcare · MedDoc AI

Turning complex clinical files into structured intelligence

A diagnostic network processing thousands of clinical records every day needed faster extraction without allowing protected patient data to leave its infrastructure. MedDoc AI delivered a fully private document pipeline from upload to structured output.

90%Faster document processing
100%On-premise data processing
JSONClean output ready for downstream systems
The challenge

Manual summaries could not scale safely

Specialists spent hours reading multi-page reports, identifying clinical values and creating summaries. General-purpose cloud tools introduced unacceptable privacy concerns, while formatting differences across laboratories caused frequent extraction errors.

The solution

A private, domain-aware document workflow

We deployed OCR, clinical entity extraction, redaction and summarization inside the client environment. Confidence checks route uncertain fields for review while validated records flow directly into existing systems.

What we delivered
  • Multi-format clinical document ingestion
  • Automated PII identification and redaction
  • Structured summaries with confidence scoring
  • Offline deployment and audit logging
Technology layer
Document AIClinical NLPOCRPrivate LLM

Business impact Review teams now focus on medical exceptions instead of repetitive extraction, while sensitive information remains fully controlled.

AI-enabled retail catalog operation
03 / 07
Retail · Vision AI

Organizing a 200,000-SKU catalog with computer vision

A fast-growing commerce business was adding products faster than its merchandising team could classify them. A visual intelligence pipeline now identifies attributes, reads labels and routes every item into a consistent catalog taxonomy.

95%Product classification accuracy
60%Reduction in manual catalog work
200K+SKUs processed at scale
The challenge

Catalog growth created a data bottleneck

Manual tagging was slow, inconsistent and prone to errors across colors, materials and product types. Poor metadata reduced search relevance and made new inventory take too long to reach customers.

The solution

Visual classification built around the catalog

We trained a product-aware computer vision service, paired it with OCR for packaging text and added human validation for low-confidence cases. The API integrated directly into the existing product onboarding workflow.

What we delivered
  • Automated category and attribute prediction
  • OCR-based label and packaging extraction
  • Confidence-led human review queue
  • Catalog API and batch processing tools
Technology layer
Vision AIImage ClassificationOCRAPI Integration

Business impact Products reach the storefront faster with cleaner metadata, improving discoverability while the catalog team handles exceptions instead of every item.

Doctor consulting a patient in a connected clinic
04 / 07
Healthcare · Scheduling & Voice AI

Giving clinicians more time for patient care

A 50-location clinic network was losing productive hours to appointment coordination and clinical documentation. We combined scheduling automation, intelligent reminders and voice-assisted notes into one patient operations workflow.

50%Reduction in appointment no-shows
80%Less administrative handling time
50Clinics working from one system
The challenge

Too much care time was administrative

Staff coordinated appointments by phone, reminders were inconsistent and clinicians completed notes after consultations. The result was missed appointments, long queues and limited visibility across locations.

The solution

Automation around the patient journey

We introduced self-service booking with capacity rules, multilingual reminders and voice transcription that structures consultation notes for clinician review before saving them to the patient record.

What we delivered
  • Rules-based appointment orchestration
  • Automated WhatsApp and voice reminders
  • Clinical speech-to-structured-note workflow
  • Network-wide operations dashboard
Technology layer
Voice AIScheduling EngineWorkflow AutomationAnalytics

Business impact Clinics filled more available slots, front-desk teams handled fewer repetitive calls and clinicians completed documentation closer to the point of care.

Personalized streaming content discovery
05 / 07
Media · MoodMix

Reimagining discovery around how viewers feel

An OTT platform wanted to move beyond generic “because you watched” recommendations. MoodMix introduced an expressive discovery layer that understands mood, occasion and context before building a highly relevant watchlist.

4×Longer discovery sessions
68%Higher content match rate
245Context combinations supported
The challenge

Choice overload was driving viewers away

Genre-only recommendations ignored why a person was watching and how they wanted to feel. Users spent too long browsing, abandoned sessions and perceived the catalog as less relevant than it actually was.

The solution

Intent-led recommendations with a human feel

We designed a lightweight mood and context selector, enriched the content catalog with emotional attributes and built a ranking engine that returns an explainable Top 10 for every session.

What we delivered
  • Mood, occasion and context discovery UI
  • Emotion-enriched content taxonomy
  • Personalized Top 10 ranking engine
  • Engagement analytics and experimentation
Technology layer
Recommendation AISemantic SearchPersonalizationProduct Design

Business impact Viewers find relevant content with less friction, increasing exploration time and creating a more differentiated product experience.

Large event powered by a unified digital platform
06 / 07
Events · Creative & Ticketing AI

Taking events from concept to on-sale three times faster

An events company managing more than 500 programs each year relied on disconnected creative and ticketing tools. We unified the launch workflow so teams could generate branded assets, publish events and monitor sales from one platform.

3×Faster event creation
40%Increase in ticket sales
500+Annual events supported
The challenge

Every launch started from scratch

Design requests moved between teams, ticket inventory lived across platforms and organizers lacked a unified performance view. Slow launches reduced the time available to promote each event.

The solution

One intelligent event launch workspace

We created controlled AI templates for banners and social assets, connected ticket inventory and added real-time sales dashboards. Brand rules remained locked while local teams could move independently.

What we delivered
  • Brand-safe AI creative templates
  • Unified inventory and ticketing engine
  • Campaign publishing workflow
  • Live conversion and revenue dashboards
Technology layer
Generative AITicketingWorkflow DesignRevenue Analytics

Business impact Teams launch earlier, keep brand output consistent and use one real-time view to optimize promotion while tickets are selling.

B2B team using AI-assisted sales intelligence
07 / 07
B2B SaaS · AI Lead Generation

Turning a lean sales team into a focused growth engine

A B2B software company entering multiple markets needed more pipeline without scaling research headcount. An always-on prospecting system now finds, enriches and prioritizes accounts before delivering them directly to sales.

3.5×More qualified opportunities
45%Shorter sales cycle
24/7Automated prospect intelligence
The challenge

Reps spent selling time building lists

Manual research consumed hours each day, data became stale quickly and every prospect looked equally valuable. The team needed a repeatable way to identify real buying signals across markets.

The solution

Automated research with transparent scoring

We built an ideal-customer model, enriched accounts from multiple approved sources and ranked them using firmographic fit and intent signals. Sales reps receive the reason behind every score inside their CRM.

What we delivered
  • Ideal customer profile modeling
  • Multi-source company and contact enrichment
  • Fit and buying-intent lead scoring
  • CRM routing and feedback automation
Technology layer
Sales IntelligenceData EnrichmentLead ScoringCRM Automation

Business impact Representatives start each day with prioritized, contextual opportunities and spend more time in conversations with accounts that are ready to engage.

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