Collect, optimize, secure, and troubleshoot telemetry across cloud, enterprise IT, security, and industrial systems.
Keep every byte. Cut telemetry cost by up to 90%. Get from signal to action in seconds — in your cloud, on-prem, or at the edge.
COSTS SAVED
$4.29M
live · blended SIEM rate
LOGS COMPRESSION
100.3×
~48× vs gzip
TRACES COMPRESSION
100.2×
OTLP · tail-sampled
METRICS COMPRESSION
100.0×
OTLP + Prom remote-write
EVENTS PROCESSED
14.3B
all 14.3B cold · 3.1B mirrored hot
TRACES IN CATALOG
42.6M
queryable · 30-day window
STORAGE SAVED
94.1%
218 TB less to store
ACTIVE TROLLS
247
all healthy · 0 stale
Cost Savings — last 24h
Optimization Ratio — last 24h
Collect, optimize, secure, and troubleshoot telemetry across cloud, enterprise IT, security, and industrial systems.
Keep every byte. Cut telemetry cost by up to 90%. Get from signal to action in seconds — in your cloud, on-prem, or at the edge.
COSTS SAVED
$4.29M
live · blended SIEM rate
LOGS COMPRESSION
100.3×
~48× vs gzip
TRACES COMPRESSION
100.2×
OTLP · tail-sampled
METRICS COMPRESSION
100.0×
OTLP + Prom remote-write
EVENTS PROCESSED
14.3B
all 14.3B cold · 3.1B mirrored hot
TRACES IN CATALOG
42.6M
queryable · 30-day window
STORAGE SAVED
94.1%
218 TB less to store
ACTIVE TROLLS
247
all healthy · 0 stale
Cost Savings — last 24h
Optimization Ratio — last 24h
Signals in
Super-compressed signals, stored in your own cloud.
Query firsthand data in your cloud. Zero third-party compute.
Talk to your apps & services. Full SRE agents.
Keep your existing tools. No rip-and-replace.
Route high-severity events to your favorite alerting tools.
Sasquatch unifies the entire telemetry lifecycle — collection, optimization, management, security, troubleshooting, and action — across every environment your business operates.
A complete AI-first telemetry plane for Kubernetes. Collect logs, metrics, and traces at every node, optimize them at the edge, and troubleshoot the full cluster from one place.
Bring servers, applications, databases, network devices, big-data systems, and custom sources into the same intelligent telemetry fabric — without rebuilding your estate.
A full security platform that normalizes, detects, correlates, investigates, and helps analysts respond across every security signal — on the same lossless telemetry foundation.
Turn SCADA, PLC, OPC UA, MQTT, and historian data into live operational intelligence. Ask questions in plain language, detect emerging issues, and keep answers local to the plant.
Collect, normalize, compress, retain, and query every signal.
Reason across live and historical telemetry with full context.
Keep your existing tools, workflows, dashboards, and destinations.
Run in your cloud, on-prem, sovereign, or fully air-gapped.
Your incidents do not respect product boundaries, but traditional telemetry stacks do. Signals are fragmented across operations, security, infrastructure, applications, and OT — then copied into expensive tools that still cannot see the complete picture.
Kubernetes, enterprise IT, security, and industrial systems each arrive with their own agents, stores, schemas, and operating workflows. Context disappears between them.
More services, devices, identities, and sensors create more signals than people can manually route, retain, search, and understand. The operational gap compounds every day.
An assistant sitting above a sampled index sees only the fragment it was given. Troubleshooting and security decisions need the live stream, the historical record, and the original bytes.
Ingest, indexing, storage, retention, query, and egress are all metered separately — often in a third-party cloud. Teams pay more while owning less of their telemetry estate.
Sasquatch AI reasons across live and historical telemetry from Bigfoot, Universal Agent, Yeti, and Valak. It correlates the evidence, explains what changed, identifies the likely cause, recommends what to do next, and carries the answer into the tools where teams work.
Start with an application error, security finding, infrastructure change, or plant anomaly. Sasquatch walks the related telemetry, reconstructs the timeline, cites the evidence it used, and turns the result into a clear explanation and recommended action.
payments-service exhausted its DB connection pool (50/50); requests waited 3000ms then 503'd, cascading to api-gateway.
ERROR payments-service · 503 Service Unavailable · trace 7f3c… · /pay/capture
Ask what is failing, what changed, which identities are risky, or why a production line is drifting. Sasquatch answers from the telemetry flowing through the environment now — with the historical context behind it and no query language required.
The same intelligence layer that manages and troubleshoots telemetry also optimizes it. Sasquatch learns each stream at the source, compresses it losslessly, routes what matters in real time, and keeps the complete record in infrastructure you control.
The compression model adapts to the shape of your telemetry — the patterns and structure unique to your stack. Not a generic compressor. That calibration is where the 100× comes from.
SHA-256 compare on decompress vs the original, verified on every event. Not “less than 1% data loss.” Not “statistically similar.” Exact bytes. Every time.
Pull any time range from your bucket, decompress on demand, forward to any SIEM in seconds. Re-hydrate for incidents or audits without paying twice to ingest.
Sasquatch does not ask teams to abandon the dashboards, query languages, or workflows they already know. Snowman speaks the protocols your tools already use, while the shared telemetry fabric keeps the data queryable in your own environment.
The single largest observability surface on the market. Point your existing Datadog Logs and APM searches at Sasquatch — same tag-and-facet syntax, same dashboards, same alerts. Cut the ingest line item, keep the workflow your team already lives in.
service:payments status:error @duration:>500ms | stats count by host
SPL parser + REST API shim. Splunk-shaped searches resolve against your Sasquatch chunks — no Splunk indexer required to search them.
index=app sourcetype=k8s_pod level=error timeout | stats count by service
Drop in Sasquatch as a Loki datasource. Your existing Grafana dashboards, alert rules, and ad-hoc Explore queries keep working — same LogQL, same response shape.
{namespace="payments",level="error"}
|~ "timeout"
| rate(5m)Kibana queries (KQL) and Lucene-shaped searches resolve through the same adapter. Your existing Discover boards, Lens visualizations, and alert rules keep working — point them at Sasquatch instead of the Elastic ingest pipeline.
service:"payments" AND level:"error" AND @timestamp > "now-5m" AND duration > 500
OTLP traces compressed at the edge, queryable from the same Tempo datasource panel. Trace ID lookup is fast against your cold storage — no full-bucket scan.
{ resource.service.name = "api-gateway"
&& status = error
&& duration > 500ms }PromQL adapter over the metric chunks Sasquatch already compresses. Existing alert rules and recording rules continue to evaluate against the same series labels.
rate(http_requests_total{
status=~"5.."
}[5m])No re-indexing
Indexes are baked into the chunk format. No separate ElasticSearch cluster, no nightly rebuild — query directly against your cold storage.
Cost is yours, not the SIEM's
Query compute is the line item that breaks SIEM budgets. With Sasquatch the marginal cost of a search is cloud egress + a slice of CPU — not a licensed search-compute unit.
Migrate without lifting
Run your existing dashboards against Sasquatch in shadow mode. Same Loki / SPL / PromQL output, same result counts. Cut over when you're sure.
Deploy the right Sasquatch product at the source — Kubernetes, servers, databases, security infrastructure, or industrial systems — and operate every stream through the same AI-native telemetry foundation.
A DaemonSet drops one agent per node. CRI log tail picks up /var/log/containers; an OTLP receiver on :4317 / :4318 takes traces and metrics straight from your apps. Native cloud identity — IRSA on AWS, Workload Identity on GCP, Managed Identity on Azure. No service-account sprawl, no extra credentials.
Static-musl binary plus signed DEB and RPM packages on apt + yum repos. Tail rotated logs, listen on syslog (RFC 3164 / 5424 over UDP or TCP), or pull from journald. Datacenter, branch site, disconnected network — same agent, no Kubernetes required, no internet round-trip on the hot path.
A second agent variant covers two new shapes. Text mode (CLP-T) compresses Hadoop, Hive, OpenStack, and Java application logs. JSON mode (CLP-S) compresses MongoDB, CockroachDB, Elasticsearch, and Spark event logs. Same engine, one --format flag, beats the reference open-source compressor on every published corpus.
Valak connects to the systems already operating the plant, preserves high-frequency telemetry, and turns live tags, process flows, alarms, and historian context into local AI-powered operational intelligence.
Compressed chunks land in your bucket of choice — S3, GCS, Azure Blob, R2, MinIO.
Route hot signals to the operational and security tools you already run. Full destination list on /integrations.
Compliance-heavy industries cannot use lossy observability tools. Regulators do not accept “1,247 similar events suppressed” in a forensic investigation. Sasquatch is engineered for the buyers who pay the most and audit the hardest.
Show us a costly pipeline, a hard-to-debug incident, a security source, or an OT system. We’ll map it to the Sasquatch platform and show you how it becomes optimized, queryable, and AI-actionable.
No contract, no “qualification call,” no sales funnel. Engineers talking to engineers.
The Sasquatch promise
“Every telemetry stream should make your systems easier to operate — not create another silo, another bill, or another place your team has to search.”