Evidence over Noise.
The Problem with Scores
A single number — a P/E ratio, a credit rating, a composite score — feels decisive. But it is a snapshot, frozen in time. It tells you where a company is, not where it is going.
Business momentum is about velocity: the rate of change in fundamentals, not the level. A profitable company slowing down is a different signal than an unprofitable one accelerating. Static scores collapse that distinction into one misleading digit.
Samhati was built on a simple premise: track what changed, how fast, and whether the evidence supports the narrative. Snapshots vs. velocity — that is the gap we fill.
Interpretation vs. Observation
Every Samhati narrative is built on two distinct layers. The first is observations — immutable, timestamped measurements derived from filings and market data. Revenue growth, margin compression, cash conversion: the raw math, stored and auditable.
The second layer is interpretation — the AI-generated synthesis that connects observations into a coherent story. We never conflate the two. Every claim in a narrative links back to the observation that produced it.
This separation is deliberate. You can read the story, click to verify, and inspect the source filing yourself. Total auditability is not a feature — it is the architecture.
Sector Adaptation
A bank and an IT services company cannot be evaluated through the same lens. What signals momentum in lending — net interest margin trends, asset quality migration, deposit growth — is entirely different from what matters in software: revenue per employee, deal pipeline velocity, client concentration.
Samhati adapts its factor framework to each sector's economic reality. The observations change. The interpretation logic changes. What stays constant is the commitment to evidence-first synthesis — never a one-size-fits-all score.