Obeli gives the world's largest social and enterprise business platforms the tooling to govern user-to-user interaction at scale — detecting abuse, enforcing policy, and documenting every decision, without adding friction for the people you're protecting.
Deploys in weeksSub-100ms decisionsAudit-ready by default
Average user messages per day on large scale platforms
80-90%
Of severe online abuse goes unreported
41-52%
Report online harassment and abuse each year
0
Median decision latency at the interaction layer
The Platform
One layer of governance between any two users.
Trust & safety fails when it's stitched together from five vendors, three internal tools, and a spreadsheet. Obeli is a single interaction layer — identity, signal, policy, enforcement, and appeal — that sits inside your product and speaks your platform's language.
01
Identity Integrity
Establish who is really behind an account without demanding a passport from every user. Device, behavior, and network signals resolve into a durable identity graph that survives resets, VPNs, and burner emails.
Ban-evasion detection
Sybil & farm clustering
Progressive verification
02
Behavioral Signal Engine
Harm is a pattern, not a keyword. Obeli models the shape of an interaction — pacing, escalation, targeting, reciprocity — to catch grooming, coordinated brigading, and scripted fraud that content classifiers miss entirely.
Sequence & escalation models
Coordination graph analysis
Novel-attack drift alerts
03
Policy Engine
Write your community standards once, in plain language, and run them everywhere. Version them, test them against historical traffic, and roll them out by region, surface, or cohort — no engineering ticket required.
Natural-language rule authoring
Backtesting & shadow mode
Jurisdictional variants
04
Graduated Enforcement
Bans are a blunt instrument. Obeli supports the full range — rate limits, reach reduction, interaction gating, cooldowns, escalating strikes — applied automatically and proportionately to the actual severity of what happened.
Severity-matched actions
Automatic de-escalation
Real-time intervention
05
Moderator Workbench
Your reviewers see full context, not decontextualized fragments: the conversation, the relationship history, the model's reasoning, and the precedent set by similar past cases. Decisions get faster and more consistent at the same time.
Full-context case view
Precedent recommendations
Wellbeing safeguards
06
Transparency & Reporting
Every decision is logged with its inputs, its rule, and its reviewer. Generate DSA and KOSA reporting, respond to regulator inquiries, and give users a real appeal path — from the same record, without a six-week data pull.
Immutable decision log
Regulatory report builder
User appeal workflows
How it works
Beyond the traditional scope of ToS effectiveness.
Ahead of the threat
Obeli's technology is designed to go beyond the traditional scope of ToS effectiveness. By combining behavioral analytics, network intelligence, secure hardware, and advanced AI-enabled modeling, Obeli helps organizations stay one step ahead of emerging threats before anything has the chance to happen.
Intelligence you can act on
Obeli curates knowledge on bad actors and uses behavioral data to predict their next moves before they even consider it. This gives actionable intelligence that enterprises can rely upon to make informed decisions about safety and security, while seeing the threat modeled in real time for maximum protection.
Solutions
Different platforms, different actors.
The abuse pattern on a marketplace looks nothing like the abuse pattern in a teen community. Obeli ships with tuned models and starter policies for all markets we serve.
Social Networks
Harassment & brigading
Detect pile-ons as they form, not after the target has already logged off. Protect at the relationship layer instead of chasing individual posts.
The obelus was the mark ancient scribes placed beside a passage they judged corrupt — not to erase the text, but to warn every reader who came after.
We started Obeli after years of watching good platforms lose their communities to a small number of people acting in bad faith, armed with tools that were never designed for the scale of the problem.
Mission
Make the safe version of a platform also the seamless version. Protection that users feel only in its absence.
Approach
Patterns over keywords. Context over fragments. Proportionality over permanence.
Fairness
If we can't explain a decision to the user it affected, we don't ship it.
Team
Trust & safety leads, abuse researchers, and infrastructure engineers from the platforms that had to learn this the hard way.
Contact
Let's talk about what's getting through.
Tell us a little about your platform and we'll come back with a scoped pilot plan — not a slide deck.
Thanks — we've got it.
A member of the Obeli team will be in touch to scope a shadow-mode pilot.