Your data, flowing
in real time.
We design and deploy production-grade data pipelines that move, transform, and deliver information in real time — so every system stays in sync and every team works from the same truth.
99.8%
average pipeline uptime across client deployments
<1s
data latency on real-time pipeline builds
254+
SaaS tools the average enterprise has — we connect them
100%
source code & IP ownership
Most companies don't have a data problem. They have a data flow problem.
Data is only valuable when it arrives in the right place, at the right time, in the right shape. Most stacks fail on all three.
43%
of business decisions are made on data that is more than 24 hours old — stale data drives bad decisions
$2,400
per month per data engineer spent maintaining manual ETL scripts instead of building new capabilities
83%
of analyst time is spent cleaning and moving data rather than generating insights from it
254
average number of SaaS tools in an enterprise — fewer than 20% are properly connected to each other
Six pipeline capabilities
we deploy across your data stack.
Real-Time ETL Pipelines
Extract, transform, and load data across any source-destination pair with sub-second latency. No batch jobs running at 3am. No morning-after data gaps.
API Integration Mesh
Connect every tool in your stack — CRM, ERP, HRIS, data warehouse — with bidirectional sync that keeps records consistent without manual re-entry.
Data Quality & Validation
Catch schema breaks, type mismatches, null violations, and statistical anomalies before they propagate downstream and corrupt your reporting layer.
Event-Driven Architecture
Build pipelines that fire on specific triggers — new record created, threshold breached, schedule hit — not just on rigid cron jobs that run whether needed or not.
Data Warehouse Automation
Automate table creation, incremental loads, partition management, and schema evolution in Snowflake, BigQuery, or Redshift — without manual SQL maintenance.
Cross-Platform Sync
Keep Salesforce, HubSpot, Postgres, Snowflake, and every other system in perfect agreement — so every team is looking at the same source of truth.
Audit to production in 6–8 weeks.
Every phase has a defined deliverable you can hold us to. No vague milestones. No scope creep.
Audit & Map
Weeks 1–2We inventory every data source, destination, and transformation in your current stack — including undocumented manual processes and shadow ETL scripts hiding in spreadsheets.
Full data flow map + source inventory
Design the Architecture
Weeks 2–3We design the pipeline topology, transformation logic, error handling, retry policy, and monitoring hooks before writing a single line of integration code.
Pipeline architecture + schema specs + SLA targets
Build & Stress-Test
Weeks 3–6We build each pipeline, load-test with real data volumes, simulate failure modes, and validate that downstream systems receive exactly what they expect.
Live pipelines + test suite + load benchmark
Deploy with Monitoring
Weeks 6–8Every pipeline ships with health checks, dead-letter queues, latency alerts, and automated recovery — so failures surface before they become stakeholder problems.
Production deployment + monitoring + runbooks
Built for your industry's specific data flows.
Finance & Fintech
LiveReal-time transaction sync across core banking, CRM, and reporting systems
Multi-entity reconciliation pipeline eliminating 3-day manual close process
Regulatory reporting pipeline auto-generating submissions from live system data
Risk data aggregation from 12+ sources with conflict resolution and audit trail
E-Commerce & Retail
LiveInventory sync across ERP, 3PL, and e-commerce platform in under 5 seconds
Order data pipeline feeding demand forecasting, finance, and ops in real time
Returns pipeline routing refund data to accounting, inventory, and CX systems automatically
Supplier data integration feeding procurement, finance, and logistics from a single flow
Healthcare
LiveHIPAA-compliant patient data flows between EHR, billing, and care coordination systems
Lab results pipeline routing structured results to clinical records and notification systems
Claims processing pipeline reducing adjudication cycle from days to hours
Staff scheduling data sync across HR, clinical ops, and payroll with zero manual export
SaaS & Technology
LiveProduct analytics pipeline feeding BI, CRM, and success tools from event stream data
CRM enrichment pipeline pulling firmographic and behavioral data from 8+ sources automatically
Revenue pipeline syncing billing, CRM, and finance with deferred revenue logic handled automatically
Churn signal pipeline feeding CS platform from support tickets, usage data, and NPS in real time
These are live pipelines running in production — not case templates.
Discuss your data stackReal pipelines. Real results.
“Cut invoice reconciliation from 3 days to 4 hours — completely automated.”
Meridian's AP team reconciled 4,000+ invoices monthly across 12 banking entities through manual exports, VLOOKUP matching, and email approvals. We replaced the entire process with an automated data pipeline that extracts, cross-references, flags exceptions, and posts entries — reducing a 3-day process to 4 hours with zero human touchpoints in the standard flow.
87%
reduction in reconciliation time
— Laila Ostrovsky, Head of Operations
Production-grade pipelines. Owned fully. Monitored continuously.
Unlike off-the-shelf connectors that break on schema changes or in-house builds that go undocumented — we build pipelines you own outright, then support them through an ongoing AMC so they evolve with your stack.
Off-the-shelf connectors
Point-and-click. Until it breaks.
- Brittle when schemas change
- No custom transformation logic
- Limited error handling
- Vendor-managed, not yours
- No observability into failures
- Re-build every 12–18 months
In-house engineering
Expensive. Slow. Unmaintained after launch.
- 6–12 months to production
- Undocumented and fragile
- Breaks when engineers leave
- No proactive monitoring
- Technical debt compounds fast
- Re-architected every 2 years
Acsenix
Production-grade pipelines. Owned by you. Monitored continuously.
- Custom-built for your exact data model
- Schema change handling built in
- Full error recovery and retry logic
- 100% code & IP ownership
- Ongoing AMC — pipelines evolve with your stack
- Real-time monitoring with proactive alerts
Questions we hear on every discovery call.
Straightforward answers — no sales spin.
Ask us directlyStop managing data.
Start trusting it.
Book a discovery call. We'll audit your current data flows, map the gaps, and show you exactly what automated pipelines would free your team to do instead.
Free data flow audit included. No commitment required.