About PeelitNow
PeelitNow is an independent, privacy-conscious information synthesis utility built to combat the cognitive strain of modern digital content bloat.
Our Engineering Mission
The open web is buried under advertising frameworks, navigation clutter, clickbait packaging, and manipulative behavioral loops. Meanwhile, researchers, software engineers, and business leaders spend dozens of hours weekly sifting through multi-thousand-word articles and technical manuals just to locate the operational core.
PeelitNow was engineered to provide instant, unadorned clarity. Using strict DOM extraction heuristics and constrained foundation model inference, PeelitNow extracts verifiable facts into a predictable 4-bullet distillation and strategic impact analysis without training models on user data or storing unconsented records.
Leadership & Engineering Masthead
Vinod David Pais
Architect with over two decades of experience designing high-throughput data processing platforms, relational database topologies, and zero-trust cloud infrastructure. Oversees PeelitNow’s serverless AWS infrastructure, SSRF mitigation protocols, and LLM orchestration boundaries.
PeelitNow Systems & Editorial Board
Maintains evaluation benchmarks for document extraction accuracy. Coordinates synthetic test suites across thousands of academic publications, earnings reports, and technical manuals to verify zero-hallucination thresholds.
Core Architectural Standards
Zero Model Training
Source text and document payloads processed through Amazon Bedrock are never logged or repurposed for foundation model pre-training or fine-tuning under strict enterprise cloud guarantees.
Ephemerality First
Uploaded PDFs and scraped DOM bodies are held strictly in memory during execution. Document uploads are stored in S3 under short-lived 24-hour lifecycle rules that automatically purge expired content.
Boundary Isolation
Strict network firewalls, recursive redirect verification, and asynchronous DNS lookups prevent SSRF vulnerabilities, isolating internal subnet structures from untrusted external targets.
Operational & Editorial Contact
For security disclosures, editorial feedback, DMCA inquiries, or business partnerships, contact our direct administrative routing addresses: