
10+ Years · 10+ Platforms Delivered
Your data platform — from broken pipelines to production AI
Your data platform — from broken pipelines to production AI
We don't sell hours. We deliver durable, cloud-native data platforms that work for analytics today and AI tomorrow. From architecture to production — one team, full ownership.
We don't sell hours. We deliver durable, cloud-native data platforms that work for analytics today and AI tomorrow. From architecture to production — one team, full ownership.
Your data stack wasn't designed for what you're asking it to do.
The platforms are ready — AWS, Snowflake, and Databricks all ship with powerful AI and analytics capabilities. But without the right data architecture underneath, none of it delivers. Most teams are stuck between legacy systems and modern ambitions.
Pipelines break weekly
Every schema change upstream triggers a cascade of failures. Your team spends Monday mornings firefighting instead of building.
Analytics can't keep up
Warehouse models built for last quarter's questions — not tomorrow's decisions. Every new request means another ad-hoc query.
No architecture connecting BI and AI
Your platform supports AI workloads — Bedrock, Cortex, Mosaic AI — but there's no governed data layer connecting analytics and AI in one unified architecture. BI runs in one silo, AI experiments run in another.
The problem isn't your platform — it's the architecture underneath it.
Our Solution
A proven data platform architecture — designed for BI and AI, deployed on your cloud, your infrastructure, your terms.
A proven data platform architecture — designed for BI and AI, deployed on your cloud, your infrastructure, your terms.
Battle-tested across 30+ deployments on AWS, GCP, Snowflake, Databricks, and on-prem — adapted to your platform, scale, and use cases.
Battle-tested across 30+ deployments on AWS, GCP, Snowflake, Databricks, and on-prem — adapted to your platform, scale, and use cases.


AI
AI
AI
Ready Data Platform Architecture
Ready Data Platform Architecture
Ready Data Platform Architecture
We embed where it matters — your data platform team, not a vendor
We embed where it matters — your data platform team, not a vendor
With 10+ years across startups, banking, telecom, and manufacturing, we work as an extension of your engineering team — taking ownership of architecture, implementation, and long-term platform health.
With 10+ years across startups, banking, telecom, and manufacturing, we work as an extension of your engineering team — taking ownership of architecture, implementation, and long-term platform health.
Your Cloud. Your Stack. Our Expertise.
Your Cloud. Your Stack. Our Expertise.
We build on AWS, GCP, Snowflake, or Databricks — whatever fits your business. No proprietary layers, no lock-in. You own everything we build.
We build on AWS, GCP, Snowflake, or Databricks — whatever fits your business. No proprietary layers, no lock-in. You own everything we build.
Production in Weeks, Not Months
Production in Weeks, Not Months
Every solution is architected for your workflows and requirements. No generic templates — just data systems designed around how your business actually operates.
Every solution is architected for your workflows and requirements. No generic templates — just data systems designed around how your business actually operates.
Support That Actually Responds
Support That Actually Responds
Dashboard updates, pipeline fixes, custom analysis — your entire data operation stays healthy. Real engineers on your preferred channels, not a ticket queue.
Dashboard updates, pipeline fixes, custom analysis — your entire data operation stays healthy. Real engineers on your preferred channels, not a ticket queue.
Our Capabilities
Have a similar challenge? Let's talk about how our Lakehouse architecture maps to your use case.
Data Platform Foundation
Data Platform Foundation
A cloud-agnostic Lakehouse architecture with governed Medallion layers — production-ready for BI dashboards today and AI workloads tomorrow, on any platform or dedicated infrastructure.
A cloud-agnostic Lakehouse architecture with governed Medallion layers — production-ready for BI dashboards today and AI workloads tomorrow, on any platform or dedicated infrastructure.
Platform Implementation & Engineering
Platform Implementation & Engineering
Ship production pipelines, not prototypes. We implement ingestion, transformation, modeling, and analytics layers using your stack — focused on outcomes, not billable tasks.
Ship production pipelines, not prototypes. We implement ingestion, transformation, modeling, and analytics layers using your stack — focused on outcomes, not billable tasks.
AI & RAG Pipeline Enablement
AI Pipeline & MLOps
AI & RAG Pipeline Enablement
Go from AI experiments to production. We build the AI layer of your data platform — RAG pipelines, vector stores, and feature layers — using your platform's native capabilities like Bedrock, Cortex, or Mosaic AI, or fully custom on dedicated hardware.
Go from AI experiments to production. We build the AI layer of your data platform — RAG pipelines, vector stores, and feature layers — using your platform's native capabilities like Bedrock, Cortex, or Mosaic AI, or fully custom on dedicated hardware.
Platform Stewardship
Platform Stewardship
Keep your data platform healthy as teams grow, tools change, and use cases evolve. Ongoing architecture guidance so technical debt never accumulates.
Keep your data platform healthy as teams grow, tools change, and use cases evolve. Ongoing architecture guidance so technical debt never accumulates.
Platform Integrations
Platform Integrations
Connect any data source or output — CRMs, ERPs, BI tools, SaaS apps — through standardized integration patterns that don't break when something changes upstream.
Connect any data source or output — CRMs, ERPs, BI tools, SaaS apps — through standardized integration patterns that don't break when something changes upstream.
Data Warehouse Migration
Data Warehouse Migration
Move off legacy warehouses to a modern Lakehouse architecture that supports both BI and AI workloads — on Snowflake, Databricks, AWS, or on-prem — with zero downtime and full data validation.
Move off legacy warehouses to a modern Lakehouse architecture that supports both BI and AI workloads — on Snowflake, Databricks, AWS, or on-prem — with zero downtime and full data validation.
Real platforms. Real results.
From broken pipelines to production AI — here's what our architecture delivers across industries.
ManufacturingAI-Powered Documentation & Compliance Platform
Automated S1000D manual generation, spare parts extraction, and regulatory compliance with RAG-powered retrieval and full audit traceability.
B2B SaaSMulti-Tenant Analytics Platform on Google Cloud
Complete data isolation per tenant with shared infrastructure. Onboarding cut from 4 weeks to 2 hours — serving millions of records with sub-second response.
AI-Driven Customer Data Platform with Real-Time Segmentation
Unified 50+ marketing data sources into an event-driven platform — enabling real-time AI segmentation and multi-touch attribution that connects ad spend to revenue.
Have a similar challenge?
Discuss Your Use Case
SUCCESS STORIES
Hear from our customers & their success stories

With Datavent's expertise, we built a scalable, cost-efficient, cloud-native analytics platform that delivers fast and reliable insights across multiple clients. Their solution has empowered us to provide robust, data-driven consulting with exceptional ongoing support.

Muhammed Bagriacik
Chief Executive Officer

Datavent supported us at DINTEGRA GmbH in developing an AI pipeline that automatically extracts and structures data from complex user manuals. This solution has exceptionally increased our efficiency, reducing manual effort and accelerating project delivery

Digital Product Manager

Datavent partnered with us at Syniotec to design and deploy a robust data-and-AI pipeline that drives actionable, scalable insights. Their solution has transformed our operations, enabling faster decision-making, smarter automation, and sustained growth

Founder & Software Advisor

SUCCESS STORIES
Hear from our customers & their success stories

With Datavent's expertise, we built a scalable, cost-efficient, cloud-native analytics platform that delivers fast and reliable insights across multiple clients. Their solution has empowered us to provide robust, data-driven consulting with exceptional ongoing support.

Muhammed Bagriacik
Chief Executive Officer

Datavent supported us at DINTEGRA GmbH in developing an AI pipeline that automatically extracts and structures data from complex user manuals. This solution has exceptionally increased our efficiency, reducing manual effort and accelerating project delivery

Digital Product Manager

Datavent partnered with us at Syniotec to design and deploy a robust data-and-AI pipeline that drives actionable, scalable insights. Their solution has transformed our operations, enabling faster decision-making, smarter automation, and sustained growth

Founder & Software Advisor

SUCCESS STORIES
Hear from our customers & their success stories

With Datavent's expertise, we built a scalable, cost-efficient, cloud-native analytics platform that delivers fast and reliable insights across multiple clients. Their solution has empowered us to provide robust, data-driven consulting with exceptional ongoing support.

Muhammed Bagriacik
Chief Executive Officer

With Datavent's expertise, we built a scalable, cost-efficient, cloud-native analytics platform that delivers fast and reliable insights across multiple clients. Their solution has empowered us to provide robust, data-driven consulting with exceptional ongoing support.

Muhammed Bagriacik
Chief Executive Officer

With Datavent's expertise, we built a scalable, cost-efficient, cloud-native analytics platform that delivers fast and reliable insights across multiple clients. Their solution has empowered us to provide robust, data-driven consulting with exceptional ongoing support.

Muhammed Bagriacik
Chief Executive Officer

With Datavent's expertise, we built a scalable, cost-efficient, cloud-native analytics platform that delivers fast and reliable insights across multiple clients. Their solution has empowered us to provide robust, data-driven consulting with exceptional ongoing support.

Muhammed Bagriacik
Chief Executive Officer
Our Process
Your Journey to AI-Ready Data in 3 Steps
From audit to AI production in 12 weeks. Every engagement starts with a free platform assessment — no commitment, no sales pitch.

1. Assessment — Free (Week 1–2)
We review your current data stack, BI pipelines, and AI readiness at no cost. You'll receive a gap analysis report, AI readiness score, and a prioritized roadmap aligned with your business goals.

1. Assessment — Free (Week 1–2)
We review your current data stack, BI pipelines, and AI readiness at no cost. You'll receive a gap analysis report, AI readiness score, and a prioritized roadmap aligned with your business goals.

2. Architect (Week 3–4)
We design a future-proof data and AI architecture covering ingestion, curation, feature engineering, and deployment pipelines. You'll get a detailed architecture blueprint and implementation plan.

2. Architect (Week 3–4)
We design a future-proof data and AI architecture covering ingestion, curation, feature engineering, and deployment pipelines. You'll get a detailed architecture blueprint and implementation plan.

3. Activate (Week 5–12)
We implement, optimize, and launch your platform — making your data production-ready for BI dashboards, ML models, and AI applications. You get a fully operational platform with documentation and knowledge transfer.

3. Activate (Week 5–12)
We implement, optimize, and launch your platform — making your data production-ready for BI dashboards, ML models, and AI applications. You get a fully operational platform with documentation and knowledge transfer.
Why Datavent
Why Choose Us?

Strategy + Execution

Strategy + Execution

Strategy + Execution

Technology Agnostic

Technology Agnostic

Technology Agnostic

Knowledge Transfer

Knowledge Transfer

Knowledge Transfer

Ongoing Support

Ongoing Support

Ongoing Support

Startup-Focused

Startup-Focused

Startup-Focused
FAQ
Frequently asked questions
Got any Questions?
Let us know! Reach out and our team will get right back to you.
What does “AI-ready data” mean?
How is this different from traditional BI pipelines?
BI pipelines focus on dashboards and reporting. Our platform ensures the same curated data also powers AI use cases — without duplicating infrastructure or bolting on new tools.
Do I need to replace my existing data warehouse or lake?
What kind of AI applications can I build with this?
Who is this solution for?
How do I get started?
FAQ
Frequently asked questions
Got any Questions?
Let us know! Reach out and our team will get right back to you.
What does “AI-ready data” mean?
How is this different from traditional BI pipelines?
BI pipelines focus on dashboards and reporting. Our platform ensures the same curated data also powers AI use cases — without duplicating infrastructure or bolting on new tools.
Do I need to replace my existing data warehouse or lake?
What kind of AI applications can I build with this?
Who is this solution for?
How do I get started?
FAQ
Frequently asked questions
Got any Questions?
Let us know! Reach out and our team will get right back to you.
What does “AI-ready data” mean?
How is this different from traditional BI pipelines?
BI pipelines focus on dashboards and reporting. Our platform ensures the same curated data also powers AI use cases — without duplicating infrastructure or bolting on new tools.
Do I need to replace my existing data warehouse or lake?
What kind of AI applications can I build with this?
Who is this solution for?
How do I get started?
Ready to build a data platform that lasts?
We're not just advisors — we're builders. Get a free platform assessment and a clear roadmap to AI-ready data infrastructure.



























