SOC 2TYPE IISOISO/IEC27001CMMCLEVEL 2GDPR
AI-native telemetry operations

One AI-native platform for every telemetry stream.

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.

~90%
Cost cut
100%
Lossless
3,700+
Detection rules
Any
Environment

Overview

6s agoProductionM

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

01:0005:0009:0013:0017:0021:0000:00
StorageEgressLogs ingestLogs retentionTraces ingestTraces retention

Optimization Ratio — last 24h

10×20×30×gzip baseline01:0005:0009:0013:0017:0021:0001:00
Logs 100.0×Traces 99.7×Metrics 99.4×

Signals in

Firewall
Auth
Syslog
K8s
Enterprise
Apps + OT
Cold storage
AWS S3Google Cloud StorageAzure Blob

Super-compressed signals, stored in your own cloud.

Snowman

Query firsthand data in your cloud. Zero third-party compute.

Trolls

Talk to your apps & services. Full SRE agents.

Operations
DatadogSplunkDynatrace

Keep your existing tools. No rip-and-replace.

Alerting
PagerDutySlackMicrosoft TeamsServiceNowJira

Route high-severity events to your favorite alerting tools.

AWSAzureGoogle CloudDatadogGrafanaKubernetesSplunkDockerElastic
Bigfoot · KubernetesUniversal Agent · Any sourceYeti · SecurityValak · Industrial OT
The Sasquatch platform

Purpose-built products. One intelligence layer.

Sasquatch unifies the entire telemetry lifecycle — collection, optimization, management, security, troubleshooting, and action — across every environment your business operates.

One foundation beneath every product

collect → optimize → understand → act
Lossless telemetry fabric

Collect, normalize, compress, retain, and query every signal.

Shared AI intelligence

Reason across live and historical telemetry with full context.

Open routing & query

Keep your existing tools, workflows, dashboards, and destinations.

Your environment

Run in your cloud, on-prem, sovereign, or fully air-gapped.

The old telemetry stack

More telemetry. More tools. Less control.

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.

Fragmented telemetry · metered at every hop
more copies · more cost · less context
ANOTHER SILO
partial context · off-perimeter
us-west
sa-east
eu-west
eu-central
ap-south
ap-se
ap-ne
ap-southeast
af-south
Ingest
us-west · metered
+$2.50 / GB
Egress
sa-east · metered
+$0.09 / GB
Retention
eu-west · metered
$0.10 / GB·mo
Storage
ap-south · metered
$0.023 / GB·mo
Retention
ap-southeast · metered
$0.10 / GB·mo
Six meters, every region, every month it’s kept — retention + storage are the bulk of the bill.~$18 / GB · 7-yr hold
A collector and console for every silo

Kubernetes, enterprise IT, security, and industrial systems each arrive with their own agents, stores, schemas, and operating workflows. Context disappears between them.

Telemetry volume grows faster than teams

More services, devices, identities, and sensors create more signals than people can manually route, retain, search, and understand. The operational gap compounds every day.

AI without the full evidence guesses

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.

Every hop adds cost and gives up control

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.

AI at the center Voice-native

From raw telemetry to the next best action.

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.

Evidence-grounded investigation

Every signal. One complete answer.

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.

  • Correlates operations, security, enterprise, and OT context
  • Cites the exact events, spans, metrics, and changes it used
  • Moves from answer to ticket, alert, or response workflow
Root-cause analysis
done
Pulled the trace · 142 spans
Walked 7 errored spans
Correlated 1,204 logs
Checked service health + error-rate
Probable root cause

payments-service exhausted its DB connection pool (50/50); requests waited 3000ms then 503'd, cascading to api-gateway.

Filed in JiraKAN-302
Talk to this Troll
Bound to node-7
thinking
Error in context

ERROR payments-service · 503 Service Unavailable · trace 7f3c… · /pay/capture

you
troll
thinking
Investigation
Reading the trace and its errored spans…
Natural-language operations

Talk to your environment, live.

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.

  • Starts at the source, not a detached AI index
  • Works by voice or text across every product surface
  • Hands off to a full investigation and operational workflow
Native two-way integrationsFile the ticket, page on-call, or post the channel — where your team already works.
Linear logo
Linear Live
ENG-412 ↗
Jira logo
Jira Live
KAN-302 ↗
ServiceNow logo
ServiceNow Live
INC0010042 ↗
Slack logo
Slack Live
#incidents ↗
Microsoft Teams logo
Microsoft Teams Live
Posted to channel ↗
PagerDuty logo
PagerDuty Live
Incident triggered ↗
Lossless optimization engine

Keep the evidence. Lose the telemetry tax.

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.

01
Schema-aware

Calibrated to your environment.

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.

02
Mathematically lossless

Every byte survives.

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.

03
Instant retrieval

Cold logs are never gone.

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.

One pipeline · three signalsratios on realistic K8s + OTLP corpora · lossless
Logs
OTLP · CRI · Hadoop · Spark
100×
Traces
OTLP · Tempo · Honeycomb · Datadog APM
100×
Metrics
OTLP · Prometheus remote-write
100×
Open by design

Keep your tools. Change the economics.

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.

Datadog
Logs Search · DQL

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
Splunk
SPL

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
Grafana / Loki
LogQL

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)
Elastic / Kibana
KQL · Lucene

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
Grafana / Tempo
TraceQL

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 }
Prometheus
PromQL

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.

Where it runs

Runs where your telemetry is born. Cloud to plant floor.

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.

01
Cloud Kubernetes

EKS · GKE · AKS · self-managed.

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.

JSON logsOTLP traces · metricsHelm chartamd64 · arm64
02
Bare metal & Linux

syslog · journald · file tail.

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.

DEB · RPM · tarballsystemd unitdisconnected OKamd64 · arm64
03
Big data & databases

Hadoop · Spark · Mongo · Postgres.

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.

CLP-T textCLP-S structured JSONHadoop · Spark · HiveMongo · Cockroach · ES
04
Industrial & OT

SCADA · PLC · OPC UA · historian.

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.

OPC UA · MQTTPI · IP.21 · historiansplant-local AIair-gapped ready

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.

Markets · Industries we serve

Where every byte must be retained for audit.

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.

Put your telemetry to work

Bring us your hardest telemetry problem.

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.

Platform fit map
Bigfoot, Universal Agent, Yeti, Valak — the right product for every source and workflow.
Live AI investigation
See Sasquatch correlate evidence and move from signal to recommended action.
Real optimization math
Your telemetry, your current bill, and your projected Sasquatch footprint.
Deployment architecture
Your cloud, on-prem, edge, sovereign, or air-gapped — designed around your estate.

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.”

Engineers reply within a business day. No sales funnel, no drip campaign.