iOS · Android
PugMark
Daily Field Companion
Point, shoot, submit. Works with no signal, syncs when it finds one.
Real-Time Animal Monitoring System
Every reserve.Every day.
Tiger identification from stripe biometrics — fully offline, on a laptop, inside the forest.
The daily loop
Seen in the field.
Settled at the station.
Two applications, one loop — a phone that captures, a desktop that clears the day.
macOS · Windows
RAM AI
Daily Monitoring Station
The full pipeline on a laptop with the Wi-Fi switched off. A human confirms every identity.
Closing the loop
Today's confirmed sighting becomes tomorrow's reference — the gallery gets better, not just bigger.
Inside the engine
Six stages, one authority.
Five stages are replaceable. The one that decides has been frozen since the day it shipped.
01
SCOUT
Tiger Detector
Finds the animal in the frame — tiger, sambar, or a branch in the wind.
02
SHADOW+
Recovery Engines
Five specialists rescue stripes from blur, darkness, grass and glare — on request only.
03
ORIENT
Straightens the Animal
Turns the flank upright and trims to the striped side of the body.
04
SignNet
Reads the Signature
Reduces a stripe pattern to a signature. Never trusted alone to name an animal.
05
CONSTELLATION
Draws Up the Shortlist
Narrows the whole reserve to the handful worth a second look.
06
RAM AI
Makes the Call
Confirmed, Needs Review, or System Undecided — it is allowed to say it does not know.
Beyond identity
Identity is one engine of four.
Four engines, one application, none of them reaching for a network.
01
TIGRIS NET
Identity
Individual identification from stripe biometrics, confirmed by a person.
02
SHADOW+
Recovery
Rescues stripes from bad frames. Never touches the decision.
03
ATLAS
Mapping
Traps, ranges and overlaps drawn on the reserve's own maps.
04
WARDEN
Alerts
A tiger out of range, a trap gone quiet — raised, not buried.
10× faster than matching by eye · 15–20% double-counting removed · 53+ reserves counting by hand today · 100% offline
The person behind it
Six hundred safaris,
then the software.
Founder · Faunterra FIRST LIGHT
ELEV. RIDGE
Founder · Faunterra Wildlife Technology
Sairam
RSNV
Wildlife photographer · Sole developer, RAM AI
Designed in a gypsy at dawn, across roughly 600 safaris in three years — long enough to learn that the hard part is not photographing the tiger, but being sure two seasons later that it is the same one.
600+
Safaris
25+
Field surveys
11
Tiger reserves
1
Developer
“Identification you can defend in a report, two years later, without an internet connection — that is the goal.”
Sairam RSNV
Deployment
From one sanctuary
to an entire state.
Pilot in month one. Operational by month six.