For investors
The thesis,in the open.
No investors yet. Founder-funded, raising a first round. This page says what we would say in the first meeting, so the first meeting can start at the second question. It is information, not an offer of securities.
The category next door just failed, and the regulators just told us what replaces it.Autonomous AI sales agents spent 2025 and 2026 learning two things: buyers recognise machine-written mail, and results nobody can attribute lose their budget. The vendors that survived repositioned as copilots; the teams that stayed reverted to AI-drafted, human-sent outreach. Meanwhile the EU AI Act classed AI that decides about people in financial services as high-risk, with human oversight, documented controls and auditability as conditions, and regulated buyers everywhere now ask for the same. The product that fits that world is governed, replayable, explainable sales intelligence with a person on every send. That is what we built, before the market said it wanted it.
Autonomy as the promise. Replies that fell as buyers learned the pattern. Results that could not be traced to the tool. Logos that were not customers.
The layer that knows the data and governs the work.
- Every fact with a source; every send with a person
- A complete, replayable record a regulator can read
- Measured before release, with the method public
Reference: Regulation (EU) 2024/1689, Annex III, on high-risk uses in financial services. Market observations are ours, from 2026 industry reporting; we name no competitor on this site.
A sales workspace for enterprises and teams that sell to businesses, built on SIVA, the sales model.Each morning: which companies moved, with sources; who signs, with reasons; the first message in the seller’s voice; follow-ups that stop on reply. Any industry, through what you sell and to whom. The same SIVA, with the same rules and record, is going to every place a seller works: the workspace now, then phone, mailbox, voice, and the assistants teams already use.
Reads, names, checks, writes, follows up and stops, remembers.
Each a worked morning. One live, eleven set up in week one.
Gulf first. English now; Arabic in progress.
Compliance must be 100% to ship. Numbers only from repeatable runs.
See it rather than read it: the product on an illustrative territory, the model, the twelve mornings, the record.
Because the moat is not the language model. It is everything a general assistant cannot have about one team’s selling.Four things compound with every customer and every morning, and none of them can be copied by switching models.
Early, and honest about it.One sector live, employee banking in the UAE. The product is in use on a real territory. Our first customer story will be our own: SKC Digital sells PremiumRadar with PremiumRadar, and the outcomes become the first case study and the first public evaluation data. Founder-led; no outside capital yet.
- SIVA 1 Horizon: the six capabilities, the rules, the record and replay.
- The public site you are reading, with the method and the commitments published.
- Twelve trades written as worked mornings; eight regions named.
- First public evaluation run, head to head against a general assistant on the same tasks.
- Phone and mailbox. Call preparation and objection handling from the seller’s own history.
- Second and third live sectors. Arabic.
- Use of funds, discussed with the record open: sellers’ surfaces, sectors, evaluation, and the first sales team beyond the founder.
We would rather list them than have you find them.
The product on a real territory, and the record behind it.Not a deck first. A working session, then the data room.
Sivakumar Chandrasekaran. Founder. Abu Dhabi.SKC Digital, Inc. is registered in Delaware, USA. PremiumRadar is its product. The founder sells it with it.
If this thesis is yours too.
Write to invest@premiumradar.com. The founder answers. This page is information, not an offer; any offering is made only through definitive documents to qualified investors.