System Integration & Data Pipelines Services
Disconnected CRM, ERP, and legacy systems leave teams reconciling data by hand while automation runs on stale numbers. Kodexo Labs closes that gap with AI system integration and data pipelines services, connecting systems and moving data reliably. Extensiv's operations team now queries four databases in plain English, no engineering ticket required.
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TRUSTED BY ENTERPRISES
This is not GenAI bolted onto a product, and it is not a general data-platform rebuild. It is the plumbing that keeps your systems talking and your automation fed with clean, current data.
Our Core Capabilities
Real-time and batch pipelines that move data as it changes.
Multi-cloud and hybrid integration across AWS, GCP, Azure, and on-premise.
Governance with GDPR, HIPAA, SOC 2, and PCI-DSS built in.
Connectors for legacy databases, ERPs, and mainframes other tools ignore.
Pipeline monitoring that detects anomalies and recovers before you notice.
Workflow automation that runs across CRM, ERP, and legacy systems.
IN THE NEWS
AI-Powered Products
AI Development Company
Expert Team
Client Retention · clients who return for the next build.
What Our System Integration Work Covers
Most integration projects stall in the gap between systems that were never designed to talk. We build the pipelines, connectors, and governance that close it, then keep data flowing after launch, not just during the demo.
Real-Time & Batch Data Pipelines
Data is only useful where it lands. We build ingestion and ETL pipelines that move records between systems in real time or batches.
Events flow the second they happen, so the data your team sees stays fresh.
Scheduled jobs pull, clean, and load large data sets on a set daily clock.
Your Systems Are Talking Past Each Other Today
Tell us which systems refuse to share data and what that costs you weekly. We will map the integration in a working session.
Integration Work That Shipped
Extensiv
Extensiv's operations team waited on engineering for every data question. Kodexo Labs built an agentic integration layer, orchestrated in LangGraph, that reads plain-English questions and answers them across the operational database. The team self-serves now at 90%+ accuracy across 207 tables and 4 databases, backed by a verified Clutch review and Inc. 5000 scale.
90%+
SQL Accuracy
207
Tables
04
Databases
Dynasty Pulse
Coaches were making in-game calls on data that was already fifteen minutes old, effectively coaching the last quarter. Kodexo Labs rebuilt the ingestion pipeline for real-time delivery, streaming events the moment they happen. Latency dropped from 15 minutes to 30 seconds, a 98% reduction, and coaches now decide on live, current game data instantly.
98%
Latency Reduction
Delivery
15 min → 30 sec
60%
Cost Reduction
Pokemon Card
The collectibles market moves faster than any buyer can track by hand. Kodexo Labs built a data pipeline that ingests and scores more than 260,000 listings every single day, then surfaces only the deals worth acting on. Deal discovery tripled, a 300% lift, with zero manual scanning left for the whole team to do.
50,000+
Users
30+
Countries
$5M+
Revenue
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- HIPAA-Compliant PipelinesEHR System IntegrationReal-Time Patient DataMulti-Cloud Health Records
Integration and Data Pipeline Work Built for Your Industry
A silo in healthcare is not the same problem as one in logistics. HIPAA rules one, siloed warehouse tables stall the other. We shape every pipeline and connector around the systems and rules your sector runs on.
See What Your Data Could Do If Your Systems Connected
Bring us the systems that will not talk, the data stuck in silos, and the compliance rules you answer to. We will show you the integration path in a live working session today.
Compliance Frameworks We Build Into Every Pipeline We Ship
Most integration vendors stay vague about compliance. We name the frameworks. Every pipeline we ship is architected around GDPR, HIPAA, SOC 2, and PCI-DSS from the first design session. For SmartMedHx, HIPAA was built into the data handling before a line of code shipped.
HIPAA
SOC 2 Type II
GDPR
PCI-DSS
CCPA
ISO 27001
ISO 42001
EU AI Act
NIST AI RMF
FERPA
HIPAA
SOC 2 Type II
GDPR
PCI-DSS
CCPA
ISO 27001
ISO 42001
EU AI Act
NIST AI RMF
FERPA
Why Teams Choose Kodexo Labs to Connect Their Systems and Move Their Data
Anyone can move data between two systems once. The hard part is doing it reliably, at volume, under compliance, without breaking when a source changes. The four things below are why clients trust us there.
Real-Time Performance at Scale
Dynasty Pulse coaches decided on stale data. We rebuilt ingestion on Apache Kafka and Airflow, so events stream the moment they land. Latency fell from 15 minutes to 30 seconds, a 98% cut.
Big Volume Without Breaking
Pokemon Card's market throws off more daily listings than any team can read. So we built a Python layer feeding Snowflake that scores over 260,000 listings daily. Deal discovery tripled, a 300% lift.
Many Channels, One Conversation
TreeklUp ran WhatsApp, mobile money, and payment rails as one flow. We wired them via API middleware and MCP connectors, so a chat becomes a paid order. Transaction time fell 80%, community doubled.
Faster Launches, Lower Costs
Zendrop teams were stuck in a slow and costly release cycle. We rebuilt the pipeline with dbt models and CrewAI agents. Time-to-market fell 45%, launch costs down 50%, and buyer conversion rose 25%.
Every Week Disconnected, Your Data Loses Value
Every month your systems stay siloed is another month of manual exports, reconciliation, and decisions made on numbers that no longer match. Book a working session with our AI team. We will map the systems to connect and scope a reliable pipeline for you.
Recognized, Not Self-Declared
These awards come from third parties evaluating verified client work, not our own marketing copy. Here is where the industry has ranked our AI engineering and data work.
Overcoming Integration & Data Pipeline Challenges
Most integration work fails for a handful of reasons. A legacy system nobody can connect to. Data trapped in silos, dirty on arrival. A pipeline that buckles under load. Compliance that spans three clouds. Here is how we solve each.
The Tech Stack Behind Our Pipelines
Proven tools, chosen for what your systems already run and where your data needs to go next.
Our System Integration and Data Pipeline Process
Discovery & Audit
We start with your real systems, not a template. We map every data source, every integration point, every legacy database, and the compliance rules that apply, before we design a single pipeline or connector.
Architecture & Design
Next we design the architecture: which pipelines run in Airflow, real-time versus batch, how systems connect through APIs or middleware, and where data lands. Every choice traces back to a named system and a measurable outcome.
Integration & Build
Now we build. We stand up the pipelines, wire the connectors, and integrate each system in sprints, with working data movement demoed every week so you see progress you can test, not status slides.
Validation & Compliance
Before launch, we validate. Data-quality checks run against every field, error handling and recovery get tested under load, and compliance is reviewed against GDPR, HIPAA, SOC 2, and PCI-DSS, one framework at a time.
Deployment & Monitoring
At go-live we deploy with monitoring already in place. Anomaly detection, self-healing retries, and alerts run from day one, and we keep tuning pipeline performance and time-to-insight long after the system is handling real traffic.
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Frequently Asked Questions About System Integration & Data Pipelines
Traditional ETL moves data; AI integration reasons over it.