Your ERP, CRM, and ecommerce data
in one layer that never disagrees
Built around your schema, not our template. We audit your sources, design the data contracts, and build the pipelines. You get one unified layer that every system reads from and every team trusts.
Fixed-price builds
Submit brief → call within 48 hours → schema brief in 3 days → build starts within 1 week of your approval
Your team spends 2 to 3 hours per week during the build. That covers one schema review, your feedback on the data contract, and a final sign-off when the first pipeline goes live. We handle everything else.
Three systems, three different answers, and every decision carries risk
The same customer shows a different inventory count in your ERP, your storefront, and your CRM. Toggle the view below to see what changes after integration.
Three systems, three different answers
Result: Your sales team quotes 812. Operations ships from 847. Your BI dashboard shows nothing. Every decision here carries risk.
See every pipeline running, and catch problems before they reach your data
Every build includes live monitoring from day one. Below is a real dashboard from a 4-source client, 30 days after go-live.
Six steps from scattered data to a single source of truth
Every project follows the same sequence. We map your data, write the contracts, and get your sign-off before a single pipeline is built.
ERP to BI: real-time reporting without manual exports
Pull financial, inventory, and order records from your ERP into a clean analytics layer. Real-time reporting without manual exports.
Multi-channel ecommerce: one inventory count across every storefront
Unify orders, inventory, and customer data across Shopify Plus, Amazon, and custom storefronts into a single operational record. Relevant to application integration too.
Event tracking: capture behavior and route it to Klaviyo, your 3PL, and BI at once
Capture customer behavior events from headless storefronts and route them to Klaviyo, your third-party logistics integration layer, and business intelligence simultaneously.
Gameday Gear: how data integration turned email into 29% of conversions
Customer behavior, product views, and cart events were not reaching Klaviyo reliably. Inconsistent syncing meant segmentation was unreliable.
A complete event schema was defined: event names, property structures, and the exact data model Klaviyo needed for reliable segmentation and flows.
Custom backend APIs routed events from the headless frontend through a server-side layer. This meant reliable data capture even when browsers blocked scripts or users bounced early.
With clean, consistent data flowing into Klaviyo, email flows and campaigns began performing accurately for the first time.
of total conversions attributed to email, up from near zero before integration
of email-driven conversions from campaigns, the rest from automated flows
Customer segments and flow triggers accurate for the first time since going headless
Every record passes three checks before it touches your target system
No data touches a target system without passing three checks: validation when it comes in, transformation in the middle, and quality guards before it goes out. Every pipeline we build runs this way.
What most data integration partners skip (and why it costs you later)
Other integration partners send a capability deck. We send a schema brief with field mappings, transformation rules, and a fixed price before any build starts.
You approve the blueprint before we write a line of code
You receive a full schema brief, including field mappings, transformation rules, and null-handling logic, before a single pipeline endpoint is built. You review and sign off. No surprises mid-build.
Fixed-price with a go-live date
Single-pipeline data integration projects from $2,800, priced before build, with a confirmed go-live date in the brief. No time-and-materials billing that expands when edge cases appear.
Error detection built into the architecture, not added after the first failure
Data drift detection, null-check validation, duplicate detection, and dead-letter queuing are part of the architecture brief. Not added after the first production incident.
Common questions about data integration projects
API integration connects systems via live endpoints for real-time event exchange. Data integration is broader: it includes ETL pipelines, schema mapping, transformation logic, and building a unified data layer across sources that may not all have REST APIs. We deliver both. See our API integration services page for the endpoint-focused build.
Single-source ETL pipelines typically go live in 10 to 14 days from signed brief. Full multi-system data layers with transformation logic and business intelligence connectors run 6 to 10 weeks depending on source system complexity and incoming data quality. Every project starts with a schema audit that produces a realistic timeline before build begins.
Yes. Single-source pipelines start from $2,800 fixed-price. Full data layer builds with 4 or more systems start from $14,000. Schema audits are $800 and credited against any subsequent build. Time-and-materials retainers are also available for ongoing pipeline maintenance and expansion.
Yes. We build flat-file bridges, SFTP-based pipelines, and database-level connectors for legacy systems without a REST or SOAP surface. Feasibility is assessed as part of the free schema audit. In some cases a file-to-API adapter layer is the most pragmatic route.
Every pipeline includes schema validation at ingress, null-check guards, duplicate detection, and alerting on data drift. Quality rules are defined in the schema brief before build starts. Dead-letter queues ensure failed records are retained and retried, never silently dropped.
Our pipelines are built on async queue architecture with configurable batch sizes and rate limit controls. Load testing at 3x projected peak volume is part of every standard build. For very high volumes, we design partition strategies and horizontal scaling from the start, not as an afterthought.
Start with a free schema audit
Tell us about your systems and what data needs to flow between them. We respond within 48 hours with a plan and a realistic price.
Call within 48 hours → schema brief in 3 days → build starts within 1 week of your approval
Brief received
We will review your systems and send a scoped schema brief within 3 business days.
Your team spends 2 to 3 hours per week during the build. That covers one schema review, your feedback on the data contract, and a final sign-off when the first pipeline goes live. We handle everything else.
One data layer. Every system in sync. Start with the audit.
Most clients go from first call to first live pipeline in under three weeks. The schema audit shows you exactly what your build will look like and what it will cost.
No commitment. No pitch.