Rahul Kapai

Building Sovereign AI for regulated industries. Creator of SKI — neuro-symbolic compliance you can defend to an auditor. Co-Founder, KpiFinity. 🇨🇦

[Rahul Kapai @rahulkapai]

"Sovereign AI" is now shorthand for national compute. In regulated work it means something sharper: the model runs on your infra, reasons over the actual regulation, and every decision can be rebuilt for an auditor. Where it runs matters. Whether you can defend it matters more.

[Rahul Kapai @rahulkapai]

@GDBALA "AI forensics" is the right name for this. Of your three scenarios, the copilot nudging relationship teams has zero paper trail — deepfake fraud and credit/AML at least have incident-response muscle. Has anyone instrumented what the human did differently because AI suggested it?

[Rahul Kapai @rahulkapai]

Every organization across should be looking into building/buying a Sovereign AI solution instead of blindly buying licenses for no real reason. This is why we are building SKI Framework: https://t.co/qc8Zq1y1Vx
We are looking for partners to maximize the impact of this framework

[Rahul Kapai @rahulkapai]

@Suhelseth Because most of the people in India, staying in India, earning their livelihood in India do the same thing each day, everyday and that too very literally.

[Rahul Kapai @rahulkapai]

@Joi2James Claude asked me to. I asked him an innocent question, “how to make ice cream at home?”

[Rahul Kapai @rahulkapai]

@TTrimoreau Watching AI writing code. I have done the same thing with the robo vaccum. Is that a problem?

[Rahul Kapai @rahulkapai]

@TheGBreaker Nature. Period.

[Rahul Kapai @rahulkapai]

@india_plus_ India’s talent is like luxury cars on our broken roads. You’ll find every supercar here, yet the potholes hold them back. We have world-class minds, but without fixing the roads-infrastructure, opportunities & systems-true potential stays stuck. Fix the roads first.

[Rahul Kapai @rahulkapai]

@garyvee 100% agree. There is no thing called overnight success. People have patience to work in a job for 35 years with no guarantee of anything but can’t put enough efforts to build a business for 6 months.

[Rahul Kapai @rahulkapai]

@IndianTechGuide Are they also going to allow them to bring their Thar with them?

[Rahul Kapai @rahulkapai]

@maulikadoshi She married a very successful investor so she should start at home, have him part away from investing in the companies that are driving climate change.

[Rahul Kapai @rahulkapai]

There are 3 categories of people:
Category 1: Finds #problem in every solution
Category 2: Finds #solution in every problem.
Category 3: Have no problem or solution, they exist only to be manipulated & influenced by Cat 1 & 2.

Cat 3 is the largest chunk of #human population.

[Rahul Kapai @rahulkapai]

@KVSinghMPGonda

[Rahul Kapai @rahulkapai]

@DrSJaishankar @MEABharat A senior citizen has been waiting for more than 4 months to get his passport. Is this how seniors are treated in India? @PMOIndia @narendramodi @passportsevamea @CJP_for_India

[Rahul Kapai @rahulkapai]

@SwarajyaMag Smart to cluster defence, nuclear and aerospace in one corridor. They share the hard inputs: precision machining, exotic materials, clean rooms, and a workforce you can't train overnight. Co-location builds supply-chain density, not scattered plants. Why Vidarbha?

[Rahul Kapai @rahulkapai]

@ManojChandraJha An ontology is only as trustworthy as its provenance. A context layer that can't tell you where a fact came from, or who signed it, just launders uncertainty faster. The real win isn't more knowledge extracted, it's knowledge you can cite back to source. Does Genie expose that?

[Rahul Kapai @rahulkapai]

@KieranGilmurray Strong framing. The layer most orgs skip is verification: who checks the model's output, and is that checker independent of the model itself? A system that grades its own homework is a demo, not a system. Where do you slot that check into the five layers?

[Rahul Kapai @rahulkapai]

@dd688688688 Courts are writing the real AI rulebook one ruling at a time, and the thread through them is the same: show your work. Models that can reconstruct how they reached an output survive discovery; black boxes settle. Which of the eleven fronts sets the first big precedent?

[Rahul Kapai @rahulkapai]

@Christianwalk @MsVeilMoney GRC suites document the process, but the Act increasingly wants evidence of the decision itself. Logging that a check ran is different from being able to reconstruct why a given output was produced. Does the Control Tower capture decision-level provenance?

[Rahul Kapai @rahulkapai]

@caimpareAItools Spike-based control is the interesting part. Table tennis is a latency problem before it's an intelligence one: you can't think your way past a 20ms ball, you have to close the sense-to-actuation loop. Curious what their full end-to-end latency actually is.

[Rahul Kapai @rahulkapai]

@LaraOnRockets Manifest density is the underrated constraint. The V3 case only closes if reuse cadence outruns demand, otherwise you amortize a bigger vehicle over the same flights. Is the real bottleneck payload supply, or turnaround time between flights?