Angentics
Real-time, source-backed research

Real-time AI research with citations, signal, and privacy—built to ship decisions.

Angentics is a minimalist AI web app for people who need reliable answers fast. It’s designed for high-stakes research: source-backed outputs you can audit, real-time web browsing for up-to-date facts, and a pipeline engineered to stay high-signal even when your context gets messy.

Core promise
Move from question → verified answer faster.
Built for
Analysts, founders, researchers, operators.
Default stance
Transparency and privacy, not growth hacks.

Save time with faster research

Research usually fails in the last mile: too many tabs, too much skimming, and not enough clarity. Angentics is built to compress the work. You ask a question, you get an answer with structure, and you can immediately drill into the sources behind the claim. Less re-reading, less second-guessing, and fewer follow-up cycles just to confirm what’s true.

The goal is simple: give you the shortest path to a decision that can survive scrutiny.

Source-backed trust (citations, links, transparency)

Trust isn’t a vibe—it’s an audit trail. Angentics emphasizes citations, links, and explicit sourcing so you can verify, quote, and share the supporting evidence. When something is uncertain, we aim to be clear about what’s known, what’s inferred, and what needs confirmation.

This makes outputs easier to review internally, easier to hand off across teams, and safer to use in customer-facing or compliance-sensitive contexts.

Up-to-date answers with real-time browsing

Stale information is expensive. Angentics answers prompts using real-time, up-to-date information: no caching and no “close enough” summaries based on old snapshots. If the world changes—pricing pages, docs, research, incidents—your workflow shouldn’t lag behind it.

The result is a system that behaves like a live research assistant, not a static knowledge base.

High signal-to-noise, even at scale

More data often means more noise. Angentics is designed to stay stable when your context gets large or messy. In internal benchmarks, our process produced 99.3% the same results even after adding 100% unrelated data as noise. That resilience lets you ingest more without paying a steep penalty in relevance.

Context size vs time-to-answer (illustrative)
80,000 words  → ~40 sec
  800,000 words → ~40 sec

The takeaway: you spend less time waiting and more time asking better questions.

Data privacy that’s practical, not performative

Angentics is built around privacy constraints that hold up in real deployments. Our partners operate under strict zero data retention policies, and third-party requests (search results and website fetching) are designed to be anonymized with zero user identification. You can delete conversation data whenever you want.

We store limited usage data for billing and rate limiting. We do not train on your data—because we don’t want it. You are not the product.

Privacy structure (what touches what)

We store no database with any 3rd party vendors. External services are compartmentalized and treated as constrained utilities—not data aggregators.

3rd party (strict policies)
  • AI Model Inference (Strict ZDR + anonymized, zero UUID)
  • Search Engine (Strict ZDR + anonymized, zero UUID)
  • Website Fetching (Strict ZDR + anonymized, zero UUID)

Human intelligence stays the center of gravity

Human intelligence is the most valuable commodity on the planet. Angentics is built to extend expert judgment, not replace it. We want to bring the “Mixture of Experts” that is real human expertise to more users—by making research faster, clearer, and easier to validate.

That’s also why we support AI-generated text detection directly in the pipeline: so you can safely exclude AI-generated content from being used in responses when your use case demands stricter provenance.

If you care about speed and correctness—without trading away privacy—Angentics is the tool we’re building.