01
Smart Delta Sync
Row-level change detection moves only what's changed — cutting bandwidth 90% and latency to sub-50ms.
Neurixa · Data infrastructure
Move data in real time — everywhere.
PRISM is Neurixa's real-time data movement platform — smart delta sync, multi-destination pipelines, 99.99% uptime and sub-50ms latency. Feed every AI Employee, dashboard and warehouse from one source of truth.
Powering 10B+ records synced across enterprise stacks · zero data loss · SOC 2-ready
PRISM · Live Dashboard
Pipeline · prod-orders → warehouse
42.1M records · today
● LIVE · 41ms
Latency
41ms
Uptime
99.99%
Bandwidth saved
92%
<50ms
sync latency · p95
99.99%
uptime SLA · guaranteed
90%
bandwidth saved · smart delta
10B+
records synced in production
● Capabilities
Every capability
an enterprise expects.
02
Multi-destination fan-out
One source, many sinks. Ship the same stream to Snowflake, BigQuery, S3, Postgres and Kafka simultaneously.
03
Schema drift handling
PRISM adapts to upstream schema changes automatically — new columns, type changes, renames — with a full audit trail.
04
Auto-recovery
Exactly-once guarantees. Point-in-time replay. Every pipeline resumes cleanly from the last committed offset.
05
End-to-end encryption
AES-256 at rest and TLS 1.3 in transit. VPC peering, PrivateLink and customer-managed keys on enterprise.
06
200+ connectors
Native connectors for Postgres, MySQL, MongoDB, Kafka, Kinesis, every major SaaS API, plus a generic HTTP loader.
07
On-prem or SaaS
Deploy PRISM as a managed cloud service or in your own VPC / on-prem for regulated industries and data residency.
08
Live observability
Real-time lag, throughput, error and cost dashboards per pipeline. Alert routing to PagerDuty, Opsgenie, Slack.
09
CDC + batch, one API
Change-data-capture, streaming and scheduled batch — modelled as one pipeline, one control plane, one bill.
● How it works
From setup to autonomous —
in 4 steps.
01
Connect a source
Point PRISM at any database, event stream or SaaS API. Zero-code connectors auto-detect schema and cursor.
02
Define pipelines
Pick destinations, transformations and delivery semantics (exactly-once, at-least-once) — visually or via YAML.
03
Deploy in one click
PRISM provisions compute, sets up CDC, and back-fills history. Streaming starts within minutes.
04
Observe + scale
Live dashboards show lag, throughput and cost per pipeline. PRISM auto-scales workers as volume grows.
● Case studies
Real customers.
Real outcomes.
NM
Northbeam Media
Digital media · 240 employees · 6B events / mo
Replaced a custom Kafka + Debezium pipeline — cut infra cost by 68% and lag from minutes to sub-50ms.
Challenge
Northbeam's data team ran a custom Kafka + Debezium + Airflow stack moving 6B events/month from Postgres and MongoDB into Snowflake and BigQuery. Every schema change broke a downstream job; sync lag routinely hit 4–8 minutes.
Solution
PRISM replaced the entire pipeline: CDC from Postgres and Mongo, exactly-once delivery to Snowflake + BigQuery + S3, with automatic schema-drift handling and back-fill on demand.
“PRISM ate our entire data infrastructure. What used to be a 3-engineer stack running 24 hours a day is now a config file and a Slack alert that never fires. Our warehouse is finally as fresh as our app.”
Results after 90 days
−68%
data infrastructure cost
8 min → 41ms
end-to-end lag
0
schema-change incidents · 6-mo
3 → 0
on-call engineers on data
PP
Parametric Payments
Fintech · PCI-DSS Level 1 · 12k tx/sec baseline
Stream 12,000 transactions per second into a fraud-detection model with 41ms end-to-end lag.
Challenge
Parametric's fraud model needed sub-100ms features from a Postgres OLTP database. Their previous pipeline peaked at 900ms lag, forcing them to run models on stale data. False positives were up, blocked transactions were rising, and CX complaints followed.
Solution
PRISM streams change events from Postgres directly into Kafka + Redis feature store with exactly-once semantics. Model inference now sees sub-50ms features on every transaction.
“The fraud model is only as smart as the data it sees. PRISM finally gave us millisecond-fresh features on every transaction. Our block rate dropped, our CX complaints dropped, and our auditor loved the audit trail.”
Results after 90 days
41ms
OLTP → model · p95 lag
12k/s
sustained · zero drops
−34%
false-positive fraud blocks
100%
PCI-DSS Level 1 audit pass
● Frequently asked
PRISM · Questions answered.
Which sources and destinations does PRISM support?+
200+ native connectors including Postgres, MySQL, MongoDB, Oracle, SQL Server, Kafka, Kinesis, Pub/Sub, and every major SaaS API (Salesforce, HubSpot, Stripe, Shopify, Zendesk). Destinations include Snowflake, BigQuery, Redshift, Databricks, ClickHouse, S3, GCS, Postgres, MySQL, Kafka, Kinesis and Elasticsearch.
How does smart delta sync work?+
PRISM uses row-level change-data-capture (log-based CDC where possible) so it moves only rows that changed since the last commit. Combined with columnar compression and deduplication, this typically saves 90% of bandwidth vs. full-table dumps and drops end-to-end latency to sub-50ms.
What delivery guarantees does PRISM offer?+
Exactly-once by default on supported destinations (Snowflake, BigQuery, Postgres, Kafka), at-least-once elsewhere. Point-in-time replay is available on every pipeline — replay the last N hours to any destination without touching upstream.
How does PRISM handle schema drift?+
Automatically. New columns are added downstream, type changes are widened safely, deletions and renames are logged for human review. All schema events are captured in an immutable audit log.
Can PRISM run on-prem?+
Yes. Deploy as a managed cloud service, in your own VPC (via PrivateLink / VPC peering), or fully on-prem for regulated industries and data-residency requirements.
How is PRISM priced?+
Usage-based per GB moved, with volume tiers. Enterprise contracts include committed usage discounts, dedicated support, and 99.99% uptime SLA. Bundle discounts apply when PRISM is deployed alongside WingerX.
● Pairs well with
Wire PRISM into the
Neurixa stack.
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