Innovative Technology
Solutions for Tomorrow
Harness the power of cutting-edge technology to drive your business forward. Explore innovative solutions that increase efficiency, improve connectivity, and elevate your competitive edge.
Embodied Intelligence. Engineered for the Real World.
Sanskriti is bridging the gap between static computation and physical action. We build the neural frameworks that allow machines to perceive, reason, and interact with complex environments in real-time.
Cognitive Robotics & Autonomous Systems
We are evolving robotics from pre-programmed automation to context-aware autonomy.
Dynamic Navigation: Our AMRs (Autonomous Mobile Robots) utilize real-time sensor fusion to navigate high-density industrial environments, ensuring seamless obstacle avoidance and human-robot collaboration.
Precision Manipulation: Through advanced Vision-Language-Action (VLA) models, our robotic manipulators achieve tactile intelligence—adjusting grip force and orientation based on object geometry and material properties.
Retail Robotics: We apply these learning models to surgical systems, enabling the automation of intricate sub-tasks like suturing with a level of precision that exceeds traditional manual constraints.
Precision Manipulation & retail We apply advanced Vision-Language-Action (VLA) models to retail systems and factory manipulators. By automating intricate sub-tasks—such high-speed sorting—we achieve a level of precision that exceeds traditional manual constraints.
Human-Centric General Purpose AI Sanskriti’s framework focuses on both gross and fine motor skills. Our goal is to create general-purpose agents capable of perceiving, understanding, and interacting with the physical world, regardless of the complexity of the task.
The Sanskriti ERP: Spatial Inventory Intelligence
Traditional ERPs rely on people to "tell" the computer what happened. Sanskriti’s Physical AI allows the computer to "see" what happened.
Automated Real-Time Auditing: Our AI agents use ceiling-mounted computer vision to track every SKU movement. When a crate is moved from "Receiving" to "Aisle 4," the ERP updates instantly without a single barcode scan.
Predictive Stocking (The "Mandi" Logic): Just like a busy market knows when the cilantro is running low, Sanskriti analyzes physical foot traffic and shelf-depletion rates to predict stockouts 48 hours before they happen, triggering automated purchase orders in your supply chain.
Digital Twin Synchronization: We create a real-time 3D map of your warehouse or store. This "Digital Twin" mirrors the physical world, allowing managers to simulate layout changes (like moving high-demand items closer to the loading dock) to optimize labor efficiency by up to 30%.
The Sanskriti Shield: Proactive Loss Prevention
Standard security records theft; Sanskriti Physical AI identifies the intent to steal before the item even leaves the shelf.
Behavioral Anomaly Detection: Our models are trained to distinguish between "Shopping" and "Concealing." The AI flags erratic movements—like "sweeping" multiple high-value items into a bag or loitering in restricted zones—and sends a silent alert to floor staff.
POS & Vision Integration (The "Sweethearting" Cure): Sanskriti cross-references live video with Point-of-Sale (POS) data. If a staff member scans one item but the camera "sees" three items passing into the bag (a practice known as sweethearting), the transaction is flagged for immediate review.
Non-Intrusive Tracking: Drawing inspiration from the open, communal feel of a local market, our system uses Anonymized Customer Journeys. We track "Basket IDs" rather than personal identities, ensuring a high-security environment that respects customer privacy and maintains a welcoming store atmosphere.
With the Sanskriti ecosystem, Point-of-Sale (POS) Integration is the bridge between digital transactions and physical reality. We move beyond simple "receipt logging" to create a unified sensory checkout.
By syncing your existing POS software with our Physical AI vision layer, Sanskriti ensures that what is scanned in the system perfectly matches what is moving in the physical world.
Real-Time Transaction Validation
Sanskriti acts as a secondary, automated witness to every transaction.
Visual Cross-Referencing: As an item is scanned, our AI identifies the object's shape, color, and packaging. If a high-value electronics box is scanned as a "bag of onions" (barcode switching), the system flags the mismatch instantly.
The secondary Filter: We detect "non-scans"—when an item passes the scanner without a digital trigger—and alert supervisors in a minute to prevent internal shrinkage.
Inventory-Sync: The "Live" Ledger
Traditional POS systems only know what was sold. Sanskriti knows what is gone.
Instant Discrepancy Reporting: If the POS reports 10 units sold but the shelf-sensors see 15 units removed, the system highlights a "Physical vs. Digital Gap" immediately.
Smart Reordering: Because the POS is linked to the physical shelf-state, reorder triggers are based on actual shelf-emptiness, not just sales projections, accounting for damaged or misplaced goods.
Technical Compatibility
Sanskriti is designed on top of ubuntu OS to run on bare metal systems locally. Our API layer integrates seamlessly with industry-standard POS providers:
Theft Cloud Sync: We sync 30 sec before and 30 sec after an anomaly is confirmed by HIL through the cloud for Backups.
Edge Processing: Vision computation happens locally to ensure zero lag at the register, even during peak "Mandi" hours.
Autonomous ride up and go - we are testing, some small robots to delivery autonomously from the back of the store to the customer.
High throught foot checkout
Self-checkouts are high-risk zones for inventory loss. Sanskriti stabilizes this environment: By having a HIL
Missed Item Detection: We monitor the baskets and employees look for anomalies
Automated Cart Verification: Integrated vision can assist in streamlining all items to adding the cart before the HIL can start the Task.
Operational Heat-Mapping
We use PV data to visualize How the store is being uitilized in real time.
Conversion Analytics: By comparing store basket traffic with POS completion and ERP sync (Physical AI) with POS completions (Digital Data), we calculate your true conversion rate for every aisle.
Staff Optimization: The system tracks the empoyee when they leave the counter for low traffic work and keep tab on the employee that tney are on the store floor.