AI agents
Coordinate repeatable, multi-step work while keeping approvals and exceptions visible to people.
AI development
AI connected to the work. People remain in control.
Agents, retrieval and integrations designed around a useful workflow—not a disconnected technology demonstration.
01 / Built and operated by NSDBytes
FocusPulse: market news, linked to what it moves.
Our own AI product. India market news as short briefings on Telegram and Web Chat, each story linked to the listed company, commodity, index or currency it concerns.
- 500+
- articles read a day
- 30+
- business and markets publishers
- 4
- public MCP directories
Public MCP serverFree beta
https://
Add this address to Claude, Cursor or any MCP client.
- Tool
search_stories· One read-only tool- Covers
- India and US stories from the last 48 hours
- Access
- No account or key
Listed in
02 / Where AI fits
Start where better context or faster decisions can change the work.
Not every process needs an agent. We separate useful automation from novelty, then choose the smallest capable system.
RAG systems
Ground answers in approved company knowledge and return the source context users need to verify them.
MCP integrations
Give AI applications a controlled path to the systems and tools they need to use.
Assistants and bots
Support customers or internal teams across the channels already present in the workflow.
A little clarity
Before an AI build begins.
Do we need to know which AI model to use?
No. The first decision is the workflow and its constraints. Model choice follows the required capability, privacy, latency, cost and deployment approach.
Can AI connect to our existing software and private data?
Often, yes. The appropriate route may involve APIs, retrieval, MCP or a purpose-built integration. Access boundaries and source quality need to be assessed first.
How do you reduce unreliable answers?
The design can combine constrained tasks, trusted retrieval, validation, evaluation and human approval. The right controls depend on the cost of an incorrect result.
Can we begin with a small pilot?
Yes. A narrow, measurable workflow is usually the clearest way to test usefulness before investing in wider automation.
Start wherever you are
Bring one workflow that feels slower or harder than it should.
We’ll help frame the users, data, risk and smallest useful pilot before proposing a build.