Private Beta

Observability that actually works.

Understand everything. Pay for almost nothing. We explain every error and latency spike while dropping the noise — cutting vendor costs 80%.

Filtering, not sampling

Explainable RCA

Privacy-preserving

Get Early Access See how it works

Sampling

Errors lost in the noise

$$$

High volume → 10% sampled, critical errors dropped

Filtering SignalPick

Every anomaly captured, impact quantified

Filter

100% traces in → 80% less to vendor, 100% signals kept

100%

Signals Captured

80%

Less Data Sent

PII Leaked

Why we built SignalPick.

Because observability shouldn't be this hard. Or this expensive.

Sampling is gambling

That one error impacting your biggest customer? Sampled away. Hope you didn't need that account.

The observability tax

You optimized your infra to save $10K. Your vendor charged you $15K to measure the savings. But hey, great dashboards.

AI SRE is a hallucination

You: "Why is checkout failing?" AI: "Checkout is experiencing failures." You: "Yes, but why?" AI: "Would you like to see a graph?"

Ten alerts, one cause

One service fails. Ten alerts fire. Your vendor shows you all ten and asks which one you'd like to investigate first. Revolutionary.

"We spent $2M on observability last year and still can't answer 'why was checkout slow on Tuesday?'"

— Every platform team, probably

Analyze everything. Forward what matters.

Our agent sits in front of your collector. Cloud intelligence decides what's unique. Your existing vendor gets 80% less data — same dashboards, same workflows, accurate RCA, smaller bill.

Your App

OTel SDK

100%

SignalPick

Agent Tokenize, Filter

Cloud Fleet Intelligence

20%

Collector

OTel

Your Vendor

Datadog, Grafana...

Buffer & tokenize

Spans buffer and get tokenized locally, and receive near real-time RCA analysis to filter noise and explain anomalies. PII never touches the wire.

Get intelligence

Tokens stream to our cloud. The RCA engine patterns across your entire fleet and returns keep/drop decisions. With receipts.

Apply decisions

Errors, spikes, anomalies, unique paths get forwarded. Dimensional variance gets explained. Redundant traces? Aggregated.

Profit (literally)

Your collector and vendor work exactly as before. They just receive 80% less data. Same dashboards. Smaller bill. Smarter traces.

Three pillars? Nah.

Logs without traces are just expensive grep. Metrics without traces are just expensive averages. With Span Logs, your logs attach directly to traces — duplicates are automatically eliminated.

Full fidelity like logs — minus the petabytes
Causality built-in — no more timestamp guesswork
Metrics derived from traces automatically — yes, really

Traces

Logs

Metrics

Unified Signal

The anti-observability platform

We cut the noise. You cut the bill.

🎯

Zero blind spots

Every unique error. Every latency spike. Every anomaly. If it's interesting, we catch it. If you've seen it before, we aggregate it.

🔒

Your secrets stay secret

PII in your request body? User tokens in headers? They never leave your infrastructure. Our tokenizer only sends opaque fingerprints.

💸

Smarter is cheaper

Plot twist: running our AI costs less than the storage you're paying for. Intelligence is now the budget option.

⚙️

Zero config, zero rules

No pipelines to build. No rules to maintain. Simple deployment. Real-time intelligence.

⚡

RCA in real time

Accurate root cause analysis as data flows. Solve the problem instead of guessing where it is.

🔌

Keep your vendor. Lose the bill.

Love Datadog? Keep Datadog. Love Grafana? Keep Grafana. Just pay 80% less for it. We filter, you save.

"The best observability is the observability you don't have to look at."

You have questions. We have answers.

How is this different from head-based sampling?

Head-based sampling is like flipping a coin before the game starts. You throw away 99% of traces before you know if they're interesting. SignalPick is tail-based filtering: we analyze 100% of completed traces and keep the unique ones. Every error. Every spike. Every anomaly. Zero gambling.

What data leaves my system?

Opaque tokens. That's it. Our client-side tokenizer converts your traces into fingerprints before they leave your infrastructure. User IDs, request bodies, bearer tokens — they stay with you. We only see structural patterns. Your secrets are literally not our business.

How do Span Logs work?

Instead of shipping logs to a separate $$$$ pipeline, attach them as span events. When 10,000 identical requests have identical logs, we keep one exemplar. You get full fidelity for the stuff that matters. Your Splunk bill cries tears of joy.

What's the cost model?

We charge you for the events we drop. Read that again. We only make money when we save you money. If we drop 80% of your vendor traffic, you pay us a fraction of those savings. You get better visibility, faster RCA, and a smaller bill. Aligned incentives. What a concept.

Do you replace my observability vendor?

Nope. SignalPick sits in front of your existing vendor (Datadog, Grafana, Splunk, Honeycomb, whatever). Keep your dashboards. Keep your alerts. Keep your workflows. Just pay less and get better signal. It's not rocket surgery.