What is actually under the hood.
How Fliyp reads your chart.
Fliyp is an AI-Vedic astrology platform that computes personalised birth charts using Swiss Ephemeris precision astronomical data (the same NASA JPL-derived ephemeris used by professional astronomers), interprets those charts using Brihat Parashara Hora Shastra (BPHS) — the foundational Vedic astrology text — and delivers daily life intelligence + life-decision guidance via an AI Decision Advisor scoped to the user's chart. Fliyp uses the Lahiri ayanamsa (the standard Indian sidereal reference). Every interpretive claim Fliyp makes traces to a named classical source — never to an anonymous "panel of experts." Fliyp predicts timing windows — not events — and is honest about the difference.
Updated: 22 May 2026 · Methodology maintained by: Fliyp founder-led interpretation team. Every interpretive rule on this page is sourced to a named classical Vedic text you can verify independently.
The chart math.
Fliyp uses Swiss Ephemerisfor all astronomical calculations. Swiss Ephemeris is derived from NASA Jet Propulsion Laboratory's DE431 ephemeris — the same source professional astronomers use for high-precision planetary position calculation. Positions are accurate to seconds of arc.
We use the Lahiri ayanamsa(the official Indian Sidereal reference adopted by the Indian government's Calendar Reform Committee in 1955). Lahiri is the standard for Vedic astrology in India and the most widely cited in classical computation.
We compute the Vimshottari Dashasystem (120-year planetary periods) from the user's birth Moon's Nakshatra — the standard Vedic methodology. Mahadasha · Antardasha · Pratyantar dates are precise.
We compute divisional charts including: D1 (Rashi) · D9 (Navamsa) · D2 (Hora) · D7 (Saptamsa) · D10 (Dasamsa) — the standard set for the relevant report contexts.
Sources cited:
- Swiss Ephemeris documentation: astro.com/swisseph
- Brihat Parashara Hora Shastra — Maharishi Parashara (foundational Vedic text)
- Phaladeepika — Mantreswara (Vedic predictive system)
- Saravali — Kalyana Varma (classical Vedic compendium)
- Lahiri ayanamsa standard reference: Indian Calendar Reform Committee, 1955
The interpretive layer.
The interpretive process is rule-based, not free-form. Fliyp does not generate astrology with an open-ended language model. The AI is interpretive (within the Vedic rules) — not generative.
The interpretive stack:
- Classical BPHS rules — the foundational interpretive framework Maharishi Parashara documented around 200 BCE
- Modern Vedic scholars — including (when applicable to a topic) Prash Trivedi (The 27 Celestial Portals), Dennis Harness (The Nakshatras: The Lunar Mansions of Vedic Astrology), B. V. Raman (modern Vedic methodology)
- Big-5 personality model — for the behavioral compatibility + decision-style layer (built on user-typed personality signals)
- Hallucination guards — every Advisor response is checked against the chart's actual signals before delivery; anything outside the chart's actual data is flagged and not shipped
Every published report and every Decision Advisor response is generated against this documented methodology and is checked by Fliyp's founder-led interpretation team. Every interpretive claim traces to a named classical source on this page — if you want to verify a reading against the original Vedic text, the citation is right here.
The validation methodology.
Fliyp runs continuous validation against:
- Anti-Forer testing — no statement Fliyp produces should apply equally to every user. We test outputs against a cross-section of charts to ensure specificity.
- Anti-Barnum testing — vague universal-feeling statements ("you sometimes feel misunderstood") are blocked at the output layer.
- Cross-section consistency — does Fliyp's interpretation of "Saturn in 7th house" hold consistently across the 1000+ charts that have it? If not, the interpretation is refined.
- LLM hallucination guards — Advisor responses are checked against the chart's actual computational outputs. Any claim not traceable to the chart's math is blocked.
- Cohort outcome calibration — once enough Accuracy Engine data is collected, we run cross-user outcome validation: did the predicted-direction correlate with the reported-outcome at statistically meaningful rates? When it does not, the interpretation is recalibrated.
The honest limits.
- We cannot predict events. ("You will get the job on Tuesday" is not something the chart tells us. "Tuesday is supported by your active dasha + today's transits" is.)
- We cannot predict free-will choices. Your partner saying yes or no is not in your chart. The chart can tell you about your readiness, your timing, your approach. It cannot dictate other people.
- We cannot predict external events. A market crash, a company layoff, a pandemic — outside the chart's scope.
- We are honest about confidence. Every Advisor answer comes with a confidence percentage. We do not pretend certainty where the chart shows ambiguity.
- We will not fearmonger. "Your bad period is coming — only Fliyp can save you" is not language we ship. Anyone using fear to upsell is not selling astrology — they are selling anxiety relief.
- We will not sell remedies. No gemstones. No yantras. No pujas-for-sale. The only thing for sale is the subscription or the report.
The named human behind the interpretation.
Arun Chachan · Founder & lead interpretation engineer · learned Vedic astrology through a credentialed teacher and years of study of Brihat Parashara Hora Shastra and Phaladeepika, cross-checking every rule against Swiss Ephemeris computation. LinkedIn
Our honest position on credentials
Fliyp does not currently have a separately-credentialed Jyotish Acharya on a public review panel — and we will not pretend otherwise. What Fliyp's authority actually rests on, today:
- Traceable sourcing — every interpretive rule traces to a named classical text (cited in full in Section 9). You can verify any reading against the original.
- Computational precision — the chart math is Swiss Ephemeris (NASA JPL-derived). Independently auditable: same inputs, same chart, every implementation.
- The Accuracy Engine — the empirical mechanism. We log every prediction and track outcomes. Over time, the data speaks for itself.
Recruiting a publicly-credentialed Jyotish Acharya as a named reviewer is a priority for Fliyp post-launch — and when that person joins, their credentials will appear here, in full, with verifiable links. Until then, we would rather show you the classical sources directly than borrow authority we have not earned.
Common questions about the methodology.
Is Vedic astrology scientifically valid?
That question has two parts. The math — astronomical calculation of planetary positions — is scientifically valid. The interpretation — what those positions mean for human life — is a 5,000-year-old observational framework that has not been validated in the way modern medicine has. We are transparent about this: the chart math is testable; the interpretive layer is observational. The Accuracy Engine lets you test the interpretation against your own outcomes.
Why Lahiri ayanamsa and not Western tropical?
Lahiri is the standard sidereal reference for Vedic astrology — adopted by the Indian government in 1955 as the official ayanamsa. It places the planets against the actual visible constellations (sidereal), which differs from Western tropical by ~24° in 2026. Vedic astrology has used the sidereal reference since the Vedas; Lahiri is the modern formalisation.
How do you handle birth-time accuracy?
Best-effort for unknown birth time uses noon-default with explicit reduced-precision flags on time-sensitive features (Lagna, Antardasha start day). Birth date + city are required; birth time improves precision when available. The Methodology page documents how each report handles reduced-precision cases.
How is the AI used?
Two ways. (1) The Decision Advisor uses an LLM as an interpretive layer on top of the chart computed outputs — it reasons through Vedic rules in natural language but cannot invent astrology outside the chart actual signals. (2) Pattern recognition across users (Accuracy Engine) uses ML to learn which interpretive rules correlate with reported outcomes — this is how Fliyp gets smarter over time.
Are all 16 reports computed the same way?
Yes. Same chart math, same interpretive stack, same documented methodology. Every interpretive claim in every report traces to a named classical source. The reports differ in scope and length, not in computational quality.
How often is the methodology updated?
Quarterly minimum. The methodology page shows "Updated: [date]" and reflects any meaningful changes to ayanamsa, computational engine, interpretive rules, or sourcing.
Can I see the source code or get audited?
The chart-math engine is closed-source for IP reasons but the inputs and outputs are auditable: enter the same birth data into any Swiss Ephemeris implementation and you will get the same chart we do. The interpretive layer is documented at this page + in published Vedic literature we cite. For deep audits (academic, regulatory), email hello@fliyp.com.
What if I find an interpretation that looks wrong?
Use the in-app "Flag as inaccurate" button. Every flag is reviewed by Fliyp interpretation team against the cited classical source. If the flag holds, the interpretation is corrected across all users with that chart configuration. We log and publish summary stats on flag rates quarterly.
Citations & sources.
- Brihat Parashara Hora Shastra (BPHS) — Maharishi Parashara
- Phaladeepika — Mantreswara
- Saravali — Kalyana Varma
- Brihat Jataka — Varahamihira
- Swiss Ephemeris documentation — Astrodienst AG, astro.com/swisseph
- NASA JPL DE431 Ephemeris — ssd.jpl.nasa.gov
- Indian Calendar Reform Committee, 1955 — Lahiri ayanamsa standard
- The 27 Celestial Portals — Prash Trivedi
- The Nakshatras: The Lunar Mansions of Vedic Astrology — Dennis Harness
- Studies in Jaimini Astrology — B. V. Raman
- Big-5 personality model — Costa & McCrae (1992)
Try the math on your own chart.
Generate your free Vedic birth chart — same Swiss Ephemeris precision, same Lahiri ayanamsa, same documented methodology.
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