Built on the desktop agent, unified model gateway, and edge AI computing network — adapted to enterprise AI assistants, customer service, content production, analytics, knowledge bases, and AI application development.
Distinct from StarClaw's individual / small-team desktop agent, these scenarios focus on industry-grade and enterprise deployments — from internal collaboration to vertical model tuning.
An organization-wide AI workspace that unifies the desktop agent, chat surface, and workflow orchestration — wired into IM, email, docs, and approvals.
Industry-grade multi-channel customer service — e-commerce, after-sales, gov hotlines, online stores. Knowledge-base-grounded responses, intelligent escalation, quality and CSAT analytics.
Hand repetitive workflows off to a digital worker — reconciliation, inventory entry, ticket dispatch, report rollups. 24/7 operation, full audit trail, anomaly alerts.
Pipeline-style content production for brands, e-commerce, and MCNs — copy, imagery, short video, digital humans, multi-platform adaptation, with compliance review baked in.
Structure internal docs, policies, and support knowledge into a queryable, citable knowledge layer. Private deployment, tiered permissions, update lineage, multi-model serving.
AI-augmented analytics for analysts and business teams. Natural-language Q&A, multi-source ingestion (Excel / DB), auto-generated visualizations, trend insights.
Clause-level review for legal, audit, and compliance teams. Auto extraction of key clauses, risk flagging, version diff, traceable review reports.
Code generation, review, test, and docs for engineering teams. Multi-language, multi-repo context, lint policy enforcement, DevOps integration.
Pretraining, fine-tuning, and continual eval of domain-specific models on the GPU cloud and model service stack. Covers finance, legal, healthcare, education.
Full lifecycle support for AI app teams — unified model access, call metering, prompt engineering, evaluation, and release. Compatible with mainstream SDKs.
Talk with our team about your scenario — we'll come back with a technical design and pricing.