Kyko Global Inc v. Omkar Bhongir
Bibliographic record
Abstract
In this diversity action, Kyko Global Inc., a Canadian corporation, and Kyko Global GmbH, a Bahamian corporation (collectively, "Kyko"), brought fraud and negligence claims against Omkar Bhongir, a California resident who was once a member of the board of directors of an Indian company that used Kyko's services.After jurisdictional discovery, the District Court granted Bhongir's motion to dismiss for lack of personal jurisdiction, denied Kyko's motion to compel the production of documents, and ordered Kyko to pay the attorneys' fees that Bhongir incurred in defending against the motion to compel.Kyko has appealed all three orders.We will affirm.I. BACKGROUND Kyko, a company providing accounts receivable factoring services, alleges that Prithvi Information Solutions Ltd., an Indian corporation, fabricated information about customers and accounts receivables that fraudulently induced Kyko to enter into a loan factoring agreement with it.Kyko sued Bhongir, who was on the board of Prithvi from 2005-2009, claiming that he either assisted in the creation of that false information or knew of its existence.1 Bhongir moved to dismiss, alleging lack of personal jurisdiction, improper venue, expiration of the statute of limitations, and failure to state a claim.Bhongir also moved 1 Kyko has successfully sued other individuals and Prithvi itself for fraud in the United States District Court for the Western District of Washington.Kyko Glob.Inc. v.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".