Control data cost
Pain
Analytics, AI, SIEM, and storage bills rise while teams keep low-value, duplicate, and rarely searched telemetry hot.
Ingext outcome
Drop noise before it lands, route by value, and retain full-fidelity history in open storage.
Clean Data to Every Tool. Lower Cost. Full Control.
The streaming data fabric that keeps your pipeline yours.
Ingext gives teams one layer to collect once, clean in motion, route by value, store full-fidelity history in open formats, and search without rehydration. The result is cleaner analytics, lower retention cost, faster investigations, and reusable context for AI.
Built for high-volume operational data
“Store everything and sort it out later” is broken.
More telemetry does not automatically create better analytics, faster investigations, stronger operations, or better AI. It often creates higher bills, slower searches, inconsistent fields, and another layer of vendor lock-in.
Security teams felt this first because SIEM environments were already drowning in telemetry. AI companies, observability teams, cloud operations, and business analytics groups are now running into the same problem at the same scale.
Ingext fixes the data strategy before downstream tools ever see the data: collect once, clean in motion, route by value, keep history in open storage, and search it without rehydration.
Give every team the same trusted event
Pain
Raw telemetry arrives with gaps, duplicates, inconsistent field names, and missing context about who did what, where it happened, and why it matters.
Ingext outcome
Ingext cleans and enriches data before it lands, so analysts, dashboards, detections, reports, and AI all work from the same analysis-ready record.
Change platforms without re-plumbing data
Pain
New analytics, AI, SIEM, lakehouse, and observability tools keep arriving, but every platform wants its own collectors, schemas, pipelines, and storage plan.
Ingext outcome
Ingext keeps the data flow independent, so you can add, replace, or negotiate tools without rebuilding collection and routing every time.
Clean in Motion, Not After the Fact
Cleaner data reaches every destination when transformation happens before storage. Ingext applies filtering, normalization, enrichment, routing, and retention policies while data is still moving, so every SIEM, lake, dashboard, and AI workflow receives records it can use.
Teams keep the signal, kill the noise before it costs them, and preserve history without storing everything everywhere. Data can flow to real-time analytics, search, customer-owned object storage, lakehouse workflows, and AI systems according to policy.
The outcome is simple: less downstream waste, more consistent analysis, and governed records that keep their context from source to destination.
Collect Once
Bring logs, events, metrics, and operational records into one streaming fabric from cloud services, infrastructure, applications, security tools, and APIs.
Clean in Motion
Filter, normalize, enrich, deduplicate, and redact data while it is still moving instead of cleaning it after it lands.
Route by Value
Send high-value events to real-time tools, dense telemetry to open storage, and low-value noise nowhere.
Store Once. Use Everywhere.
Keep long-term operational history in open, analytics-ready storage without giving up real-time access. Ingext writes Parquet data lakes into the storage you already own on AWS, Azure, or GCP, under your namespace and governance, so retained data stays searchable, portable, and ready for reporting, investigation, and AI.
Traditional lakehouses focus on what happens after data lands. Ingext handles the full lifecycle first: collection, streaming transformation, governed routing, and analytics-ready retention in your cloud storage without a separate storage markup.
Example Sources
AWS CloudTrail / S3
Kubernetes / Hosts
Application Logs
Okta / Entra ID
Kafka / Syslog / APIs
Ingext Streaming Fabric
Collect once
Normalize fields
Enrich context
Filter noise
Route by value
Useful Destinations
AI
agents, RAG, copilots, Bedrock, Vertex, Azure AI
Analytics
clean records
Search
cutting-edge JavaScript and KQL querying
Lakehouse
your Parquet on AWS, Azure, or GCP
SIEM
Fluency, Splunk, Sentinel, or Elastic
Multi-stream routing
send everywhere and anywhere all at once
Hot tools get signal
Customer-owned storage keeps history
Noise stops upstream
What Teams Gain
Usable data on arrival
Data is labeled, enriched, and transformed inline, so teams do not wait on cleanup after storage.
Lower-cost retention
Streaming pipelines handle real-time workloads while your own Parquet storage keeps history durable and cost efficient.
Analytics and AI readiness
Data lands in open, columnar formats in your cloud account, optimized for search, analytics, and AI without re-ingestion.
Continuous operations
Ingext is built for nonstop, high-volume operational, security, and application data, not only batch uploads.
Cleaner Data. Faster Decisions. Lower Cost.
Ingext turns fragmented operational data into governed flows that teams can trust. Instead of duplicating pipelines, storing noisy records, and rebuilding context later, you control what gets analyzed now, what gets retained for later, and what gets filtered before it becomes expensive noise.
Cleaner Data Everywhere
Make every log speak the same language before it lands, so detections, dashboards, and AI work from consistent fields.
Lower Cost by Value
Send notables to hot tools, dense telemetry to customer-owned Parquet storage, and noise nowhere.
Full Control
Keep collection and routing independent with self-hosted, hybrid, and on-prem deployment options that avoid tool and vendor lock-in.
One Control Layer for Every Destination
Ingext sits upstream of analytics, search, AI, storage, monitoring, and security tools. It connects to your existing sources and destinations, then applies collection, enrichment, routing, and retention policy before data becomes locked into separate systems.
Collects From
- AWS CloudTrail
- SentinelOne
- Okta
- CrowdStrike
- Proofpoint
Feeds Directly Into
- Fluency
- Splunk
- Microsoft Sentinel
- Elastic
Reduce Waste Before It Lands
Less noise reaches expensive tools when filtering happens in motion. Ingext categorizes repetitive warnings, service heartbeats, duplicate events, and low-value records before they consume downstream storage and compute.
Lower volume immediately reduces transport, processing, and retention pressure while keeping valuable history available in open storage.
Cleaner data products move faster. Ingext routes dense, full-fidelity records into Parquet-based archives while sending enriched, high-value streams to real-time analytics, search, monitoring, security, or AI destinations.
Teams preserve history for future analysis while keeping each downstream system focused on the data it is best suited to handle.
40%
less noisy data reaching downstream tools
2×
faster analysis with cleaner, lighter search loads
80%
savings compared to storing everything everywhere
Ingext turns upstream data control into better performance, lower cost, and more reliable analysis for the teams and systems that depend on operational data.
From Raw Data to Reliable Context
Ingext makes each stage of the pipeline useful before the next system receives it. Collect once, transform in motion, route by policy, store in open formats, and query without rehydration.
Collect
Result:
Unified intake for Syslog, APIs, HEC, cloud events, webhooks, and collectors
Impact:
Simplifies onboarding across sources, teams, and environments
Transform
Result:
Normalize, enrich, label, deduplicate, filter, and redact inline
Impact:
Creates clean, usable data before it reaches analysis or storage
Route
Result:
Send streams to search, analytics, AI, monitoring, storage, or security tools by policy
Impact:
Keeps each destination focused on the data it is best suited to use
Store
Result:
Data lands in open Parquet format in the lakehouse
Impact:
Supports analytics-ready, low-cost long-term retention with self-hosted deployment options.
Query
Result:
Unified search across live streams and retained lakehouse data
Impact:
Gives analysts, applications, and AI workflows usable context without rehydrating data first.
Better upstream control makes every analytics product work better. Ingext improves the data before it reaches those products, giving teams lower cost, higher reliability, and a clearer picture of what is happening in their environment.
Make Operational Data Useful Before It Lands
Deploy Ingext to deliver cleaner, governed data to analytics, search, storage, and AI systems without rebuilding every pipeline.
Find Answers Across Every Tier
Teams get governed access to live and retained data without moving everything first. Ingext Search makes operational history usable for investigation, reporting, analytics, and AI without rehydration delays.
One Search Experience
Search active streams and historical data in a single view with the same fields, labels, enrichment, and context.
Faster Answers
Reconstruct patterns, trends, and events without moving data. Ingext keeps full-fidelity history ready for replay and correlation.
Governed AI Context
Give AI workflows cleaner, better-labeled context through secure, auditable access paths that preserve ownership and data sovereignty.
Insights & Research
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Get Cleaner Data to Every Destination
Share your sources, destinations, and analysis goals. We will map where upstream transformation, routing, and retention can improve cost, reliability, and AI readiness.
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