Sigilix
Summary
Most automated code review tools post a wall of model-generated comments that reviewers learn to ignore — or worse, suppress real bugs to keep the output tidy. Sigilix is built around the opposite bet: a five-stage pipeline where a finding cannot post unless it cites real evidence and survives execution.
Each pull request triggers five specialist agents — Metis, Argus, Iris, Eunomia, and a synthesizer named Harmonia — running in parallel, then collapsing into a single structured comment. Every finding carries a proof tier: VERIFIED, GROUNDED, or MODEL, so you know exactly how much to trust it before you act. The output is a ranked file list by risk, an effort estimate, and inline patches ready to apply. The architecture runs as a hosted GitHub App with no self-hosted option, which caps teams that need code to stay inside their own network. It is in private beta, so production reliability data from external teams is not yet available.
Bottom line: Sigilix is the right bet for a team tired of pruning hallucinated review noise from generic LLM tools — but teams with air-gapped repos or hard data-residency requirements will hit a wall immediately, since the vendor currently offers no self-hosted runner.
Pricing Plans
SubscriptionLast verified 2 weeks ago- Price
- $30/seat/mo + usage
- Free Tier
- 1 repository, capped monthly usage, PR review (full pantheon), CI-failure triage, community Discord
Free
For solo repos & trying it out
- PR review u00b7 full pantheon
- CI-failure triage
- 1 repository
- Capped monthly usage
- Community Discord
Pro
Triage, review, CLI & chat
- Everything in Free
- Sigilix CLI + Deep-Research Chat
- Issue triage u00b7 Linear
- Bring your own model
- Up to 10 repositories
Max
More usage + frontier models
- Everything in Pro
- 5u00d7 Pro's usage windows
- Wider access to frontier models
- Unlimited repositories
- Priority support
Ultra
Largest windows, org controls
- Everything in Max
- 10u00d7 Max's usage windows
- SSO & audit logs
- Self-hosted runner option
- Dedicated channel
Enterprise
Usage scales to your org and needs u2014 contractual, with on-prem / VPC / custom MSA available
- Custom pricing
- On-prem option
- VPC option
- Custom MSA
View full pricing on sigilix.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Five specialist agents review each PR in parallel before Harmonia synthesizes a single structured comment, which means reviewers read one actionable verdict instead of resolving conflicts across a dozen redundant bot threads.
- Every finding carries a proof tier — VERIFIED, GROUNDED, or MODEL — so you know the evidentiary basis before you act on it, rather than having to manually re-verify whether the bot spotted a real bug or invented one.
- The per-repo trust ledger learns from every dismissal, which means the signal-to-noise ratio improves the longer a team uses it — instead of resetting to generic noise on every PR.
- Bring-your-own-model support means switching the underlying provider is a configuration change, so teams are not locked in if API costs or model quality shift.
- A real P0/P1 finding is never suppressed to keep the review tidy, which means the architecture cannot trade recall for cleaner output — the failure mode that makes most review tools dangerous in production.
Cons
Sign in to edit- There is no self-hosted or on-premises option. Teams with data-residency requirements or contracts that bar sending code to third-party infrastructure cannot deploy Sigilix at all — they move to a self-hostable alternative at that point, regardless of review quality.
- The tool is in private beta, which means access is gated and external production-scale reliability data is not available. Teams evaluating for a critical pipeline cannot point to a track record of uptime or regression history from other organizations.
- Linear integration is the only named issue-tracker connection. Teams running Jira, GitHub Issues, or any other tracker get the PR review workflow but lose the structured triage path, and would need to build that connection themselves.
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About
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-30T00:30:14.501Z
Best For
Who it's for
- Teams seeking structured PR reviews
- Organizations using Linear for issues
- Users wanting to bring their own models
- Enterprises needing audit logs and SSO
What it does well
- Automated pull request reviews
- CI failure triage
- Issue triage integrated with Linear
- Deep research chat on codebases
- CLI-based coding assistance
Integrations
Discussion Community
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Frequently Asked Questions
- Is Sigilix free?
- Sigilix has a permanent free tier alongside paid upgrades (paid plans from $30/seat/mo + usage). You can keep using a baseline version indefinitely without paying.
- Is Sigilix open source?
- No — Sigilix is a closed-source tool. Source code is not publicly available.
- Does Sigilix have an API?
- Yes. Sigilix exposes a developer API. See the official documentation at https://sigilix.ai for details.
Hours Saved & ROI Stories Community
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Curated lists that include this category
PR review tools built on a single model-to-comment loop produce findings that all look equally authoritative, whether they’re grounded in the actual diff or hallucinated from training data. Sigilix addresses this with a five-stage pipeline: deterministic scans and AST analysis run before any model speaks, specialist agents interpret that evidence by citing the manifest rather than reasoning from scratch, provenance contracts and live execution gates drop any finding that cannot be cited, and only what survives posts — tagged VERIFIED, GROUNDED, or MODEL so the reader always knows the proof tier.
The differentiating mechanic is the proof tier attached to every inline comment. A VERIFIED finding survived execution. A GROUNDED finding cites a specific manifest or scan result. A MODEL finding is model-generated without external corroboration — and the system surfaces that distinction rather than hiding it. The vendor states the hallucinated-finding count is zero by construction: uncited findings are dropped before posting, not filtered after. Every dismissal a team records trains a per-repo trust ledger, so the system adjusts to your codebase’s risk profile over time.
Sigilix fits teams that have already concluded that generic LLM review noise costs more to triage than it saves. The Linear integration handles issue triage, and the CLI covers chat-based codebase research and local coding assistance. The hosted GitHub App model means setup is minimal — reviews fire automatically on every PR. The constraint is equally clear: there is no self-hosted option. Teams with data-residency requirements, air-gapped infrastructure, or contracts that prohibit sending code to third-party services cannot use it in its current form. The tool is in private beta, so external production-scale evidence is limited.
For enterprises, the vendor describes audit logs and SSO as available capabilities. The bring-your-own-model option is listed as a supported path, which means teams that need to route through their own API keys or swap providers can do so without being locked to Sigilix’s default model choices.