Ready-to-deploy workflows across operations, marketing, research, engineering, and content. Each agent is configured for your tools and hosted on IndicStack infrastructure.
Each agent below is scoped to a specific workflow. Inputs, outputs, and model selection are configured per deployment.
Extracts action items, decisions, and follow-ups from team conversations. Delivers daily executive digests with prioritized tasks.
Answers customer queries from your knowledge base with escalation routing for edge cases and a full audit trail of every interaction.
Pulls data from Google Search Console and GA4, identifies ranking opportunities, and delivers prioritised recommendations each week.
Runs the content side of SEO: keyword clustering, content briefs, and optimisation checklists tied to your target pages.
Analyses campaign performance, identifies wasted spend, surfaces high-converting keyword opportunities, and flags copy that needs revision.
Monitors HuggingFace, arXiv, and GitHub for new open-source AI models and datasets relevant to Indian languages and your tech stack.
Watches a configured list of industry voices, competitors, and topics across X and news sources. Filters by relevance and routes signals to your team channel.
Generates documentation, technical blog posts, and API explainers from your codebase, spec files, and product changelogs.
Reads your API spec and generates a working mock server with realistic test data, enabling frontend and backend teams to develop in parallel without blocking each other.
Researches a topic, drafts a long-form blog post or newsletter edition, and prepares it for review — structured to match your publication format and brand voice.
Multi-step pipeline: research agent scouts trends, writer drafts platform-specific posts, critic reviews against brand voice, image direction generated — all submitted for approval before any publishing.
Brief us on your workflow and we will scope a custom agent for your team. Inference on Indian infrastructure, with audit trails and retention controls configured per deployment.
Request an Agent