Every planetary position is astronomically computed. Every interpretation is sourced from classical texts. Every result is validated against Jagannatha Hora — 84 automated checks, every release.
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The three-layer promise
Most astrology apps either let AI invent positions, or pair accurate maths with generic interpretation. VedicSync separates the two so each layer does what it does best — the engine computes, the sources ground, the model only interprets.
Positions, all 16 Shodashvarga, Ashtakavarga, Shadbala, Vimshottari, and live transits — computed by our proprietary Vedic engine (Lahiri Ayanamsa), validated against Swiss Ephemeris and Jagannatha Hora across 84 automated accuracy checks on every release.
Interpretation rules retrieved from 150+ entries across classical texts — BPHS, Brihat Jataka, Phaladeepika, Lal Kitab. Every insight traces to its source.
A reasoning model synthesises verified chart data, classical principles, and your context into guidance specific to you. It interprets; it never calculates.
What's computed
Most apps compute D1 + D9. We compute all 16 divisional charts, the full Shadbala strength system, Ashtakavarga, 13+ yoga types, and more — all available to Saarthi in every conversation.
Accuracy proof points
We don't claim accuracy — we prove it. Every system is cross-checked against Jagannatha Hora (PVR Narasimha Rao's authoritative software), with exact match criteria and automated tests that run on every code change.
Accuracy & trust
AI interpretation needs guardrails. Ours run in layers — some in the model's instructions, others in code that checks every response after it's written.
Every computation is validated against Jagannatha Hora across 84 automated tests that run on every release — if a result ever drifts, we know before you do.
The AI never computes a position, Dasha, or Panchang — those come only from the engine, as verified facts.
Every response is checked in code. A time or date that doesn't match the chart is auto-corrected before it reaches you.
Answers are grounded in retrieved classical rules, not the model's general knowledge — every insight traces to its classical source.
Clear boundaries
Challenges are named directly when they're real — with context, duration, and practical navigation. No sugarcoating. No fear-mongering. Grounded and actionable.