INGESTION
TRANSFORMATION
INTELLIGENCE

Trusted data. Smarter products. Faster decisions.

Your product data, your pipeline data, and your analytics data all live in different silos — and that's costing you. WillowVibe connects the dots. We engineer the systems that make your product lifecycle, data pipelines, and business intelligence work as one.

Data engineering illustration
AWSSNOWFLAKEDATABRICKSKAFKADBTAIRFLOWTEAMCENTERWINDCHILLBOM MANAGEMENTVARIANT CONFIGURATIONCHANGE CONTROLENOVIAAWSSNOWFLAKEDATABRICKSKAFKADBTAIRFLOWTEAMCENTERWINDCHILLBOM MANAGEMENTVARIANT CONFIGURATIONCHANGE CONTROLENOVIA

Core Capabilities

Enterprise PLM & CAD

Enterprise PLM & CAD

Full-lifecycle PLM architecture, BOM management, change control governance, and production-ready CAD for complex engineering environments.

3DEXPERIENCETeamcenterCATIA V5SolidWorks
Explore service
Data Engineering & Integration

Data Engineering & Integration

Resilient cloud lakehouses, automated ETL/ELT pipelines, zero-downtime migrations, and scalable cloud infrastructure on AWS, Azure, and GCP.

SnowflakeDatabricksKafkadbtAirflow
Explore service
Data Trust & Analytics

Data Trust & Analytics

Data quality automation, governance frameworks, real-time observability, AI infrastructure, and business intelligence dashboards your team will actually trust.

Data QualityObservabilityAI InfraPower BI
Explore service

Featured Projects

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

PLM Data Lake Migration

Migrated legacy product lifecycle management data into a unified lakehouse, drastically reducing reporting time.

6 HRS MANUAL
15 MINS AUTOMATED
AWSSnowflakedbt
METRIC: 96% Time Saved

Global Logistics Lakehouse

Constructed a real-time streaming architecture resolving supply chain bottlenecks globally.

LAKEHOUSE
DatabricksDelta LakeKafka
METRIC: 5PB+ Data

Fintech Fraud Detection

Built an end-to-end data pipeline feeding ML models to detect anomalies in real-time.

ML_MODEL
LATENCY: 42ms
SnowflakedbtAirflow
METRIC: < 50ms latency

Client Endorsements

We were struggling with scattered data across three different systems — our ERP, our CRM, and a legacy warehouse nobody wanted to touch. WillowVibe built us a single automated pipeline that pulls everything together overnight. Our Monday morning reports now take minutes instead of half a day.

Rajesh Nair

Head of Operations, Bengaluru Logistics Pvt. Ltd.

More endorsements coming

We are collecting feedback from our clients. Real stories, real results — coming soon.