Source Intelligence
Monitor approved sources, accept URLs, extract primary material, group related coverage, and keep source failures visible.
- Monitoring
- Extraction
- Grouping
- Source trace
Turn trusted sources into publish-ready content.
Alomat is a managed agentic publishing platform for global digital publishers, combining source intelligence, editorial memory, specialist agents, and human approval.
Sources · Memory · Agents · Human approvalScroll to inspect
The platform
A publishing operation, not another writing prompt.
Editorial Memory
Retrieve archive-backed style, topic context, duplicate signals, and publisher-specific rules before drafting begins.
- Archive retrieval
- Style memory
- Context
- Deduplication
Agent Workflow
Coordinate research, writing, editing, visual, and verification stages as one observable publishing pipeline.
- Orchestration
- Tool use
- Routing
- Traceability
Content Packaging
Prepare short updates, explainers, digests, summaries, and visual direction for the selected publishing surface.
- Formats
- Summaries
- Visual briefs
- Channel adaptation
Human Control
Keep editors in charge through approval queues, source visibility, edit and reject paths, and explicit hard stops.
- Approval
- Escalation
- Guardrails
- Accountability
Operations & Evaluation
Track delivery state, retries, traces, quality gates, and review feedback so the workflow improves safely.
- Observability
- Evaluation
- Fallbacks
- Feedback
How it runs
From source signal to an accountable editorial decision.
- 01
Monitor
Watch approved feeds, sites, channels, and submitted URLs without turning every signal into a story.
- 02
Verify
Extract primary material, group related coverage, detect duplicates, and preserve source references.
- 03
Understand
Score relevance, retrieve editorial memory, choose the right format, and apply publisher-specific rules.
- 04
Produce
Coordinate specialist agents to draft text, summaries, visual direction, and channel-ready packages.
- 05
Review
Present traceable output to a human editor for approval, editing, rejection, or escalation.
- 06
Learn
Record decisions and outcomes so evaluations and workflow rules can improve without bypassing people.
Deployment patterns
Built from live publishing workflows, not a prompt demo.
Three operating patterns shaped the platform. Customer identity and operational details remain private.
Production pattern / 01
Always-on signal desk
In production with an active digital publisher: the system monitors multiple approved sources, groups related stories, prepares the appropriate format, and waits for owner approval.
- Continuous monitoring
- Story grouping
- Format routing
- Owner approval
Production pattern / 02
URL-to-content package
An editor submits an approved article URL and receives a concise summary plus visual direction prepared for review and delivery.
- Secure URL intake
- Article extraction
- Concise summary
- Visual package
Production pattern / 03
Editorial memory system
Historical style and topic context guide specialist research, writing, editing, and verification stages before a human decision.
- Archive retrieval
- Style guidance
- Specialist agents
- Quality gates
Managed SaaS
Your editorial system, operated with you.
We configure and operate the agent workflow. Your editors keep authority over what moves forward.
Managed SaaS / 01
Configure
We set up approved sources, archive-backed editorial memory, output formats, review roles, and delivery boundaries.
Managed SaaS / 02
Operate
We run and observe the agent workflow while your editors remain responsible for approval and publication decisions.
Managed SaaS / 03
Improve
We use review feedback, traces, and evaluation examples to refine the workflow without weakening its controls.
Start with one publishing workflow.