XALEN is the AI-native store: 200+ models, a build Studio, ready-made agents, and a desktop app through one OpenAI-compatible API. Born inside BookMyMandir, we go deeper than any store on one vertical — faith and astrology, grounded in 5,000 years of classical knowledge.
Every frontier and open model through one OpenAI-compatible API — then something no other store ships: domain intelligence that understands 5,000 years of classical knowledge. We compute real planetary positions, verify citations against authenticated texts, and generate culturally grounded responses across 31 languages. Citation-verified accuracy. No guesswork. Mathematical precision meets ancient wisdom.
16 months deep in classical Jyotish texts. Built Vedika from BPHS verse-level citations to production API serving 2,100+ developers. Former full-stack engineer. Believes every developer deserves one store for every AI model — with domain depth, starting in faith and astrology, that no aggregator ships.
"Teams juggle five AI vendors and still can't get domain answers right. We built the store that unifies every model — and went deepest where everyone else gave up."
Domain-specific AI requires domain-specific infrastructure. Every component is purpose-built.
Research-grade planetary calculations accurate to sub-arcsecond precision. Real math, not guesswork.
Every astrological combination is mathematically computed from planetary positions, never generated or guessed by AI.
Grounded in 30+ authenticated classical texts spanning 5,000 years of Jyotish tradition. Every claim traced to verse-level citations from the texts real astrologers study.
Four complete astrology systems (Vedic, Western, Krishnamurti/KP, and Vastu), each computed independently with zero mixing.
Native speech-to-text, AI processing, text-to-speech. Full voice pipeline across Indic languages.
Every response verified against authenticated source material. Claims without proper backing are filtered out automatically. Grounded accuracy by design.
Generic AI fails catastrophically in this domain. Here's why.
LLMs confidently produce incorrect verses, wrong chapter numbers, and fabricated slokas. In a domain where trust is everything, one wrong citation destroys credibility.
Planetary positions change every second. Language models cannot perform astronomical calculations. You need precision astronomical computation, not token prediction.
5,000 years of interpretive tradition cannot be absorbed from internet scraping. The nuance between dasha systems, the hierarchy of classical authorities, the regional variations — all require curated knowledge.
1.4 billion people rely on this knowledge, and generic models botch it — inventing verses and dasha periods that don't exist. That's why our Vedika models add real computation, verified citations, and 31 languages on top of the store.
Supported by the companies building the future of computing. Google Cloud and NVIDIA power our inference infrastructure.
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