Frequently Asked Questions

Decryptogen has delivered scalable SaaS solutions using multi-tenant architecture on AWS. We implement tenant isolation, user management, billing, and CI/CD using Amazon Cognito, Lambda, DynamoDB, and Amazon Aurora Multi-AZ clusters.

We incorporate security-first principles in GenAI development, embedding policies for bias detection, model versioning, explainability (XAI), and audit logging. Decryptogen ensures compliance with GDPR, SOC 2, ISO 27001, and industry-specific regulations.

Decryptogen has built LLM-powered assistants that integrate with ticketing systems (Zendesk, Freshdesk) and CRM platforms to automate Tier 1 responses, sentiment analysis, and escalation workflows—resulting in faster resolution and 40% support load reduction.

Decryptogen provides custom LLM fine-tuning on proprietary datasets using SageMaker and Bedrock. Whether it’s legal document summarization, medical QA, or domain-specific bots, we ensure accuracy, privacy, and optimal latency.

Decryptogen delivers real-time data processing pipelines using AWS Glue, Kinesis, Kafka, and Redshift. We enable sub-second data ingestion and processing for use cases like fraud detection, supply chain visibility, and personalization.

Decryptogen built emotion-aware student-teacher interaction platforms that personalize content based on facial cues and engagement levels. We use computer vision, NLP, and real-time analytics for student success and adaptive learning.

We design event-driven systems using Amazon EventBridge, Step Functions, Lambda, and API Gateway. Our architectures follow zero-trust security, use KMS and IAM for identity, and support autoscaling, auditability, and low-latency response.

From predictive maintenance to waste classification, Decryptogen has implemented AI models that optimize machine performance, reduce downtimes, and enhance product grading accuracy using image recognition and time-series ML.

Decryptogen delivers secure smart contract development, testing, and auditing using Solidity, Truffle, and third-party validators. Our blockchain infrastructure follows DevSecOps practices, integrates with cloud-native CI/CD, and supports audit trails, oracles, and tokenomics.

Decryptogen specializes in building AI-powered HR tech solutions, including intelligent candidate analysis platforms that evaluate resumes, video interviews, and behavioral signals. These systems use machine learning, computer vision, and NLP to automate screening, reduce bias, and improve talent acquisition efficiency.

Decryptogen delivers next-generation agentic AI systems designed to autonomously manage DevOps operations and Level 1 support tasks. These AI agents handle deployments, incident responses, system monitoring, and ticket resolution—reducing operational costs and boosting uptime across AWS environments and enterprise stacks.

Decryptogen has executed advanced FinOps strategies across AWS, Azure, and GCP, empowering companies like Allion and Gifted to reduce cloud spend by 30–56%. Our services include cloud cost visibility, tagging automation, budget enforcement, anomaly detection, and business-aligned cost reporting.

Decryptogen has built ML-powered computer vision solutions to automate tea leaf quality grading. These AI models analyze shape, texture, and color with precision, helping agriculture and manufacturing clients ensure consistency, reduce human error, and boost production line speed.

Decryptogen enables SaaS providers to scale AI-based services on AWS using Kubernetes (Amazon EKS). We design microservice architectures with CI/CD pipelines, auto-scaling, observability, and security—ensuring high performance and fault tolerance for AI-driven applications.

Decryptogen’s GenAI-powered waste classification platform uses computer vision and LLM-based analysis to assess and optimize recycling processes. This supports sustainability goals by enabling real-time tracking, material categorization, and policy compliance for environmental operations.

Decryptogen develops LLM-driven AI copilots tailored for executive decision support. These tools summarize enterprise data, automate workflows, provide predictive insights, and integrate with CRMs, ERPs, and analytics tools to accelerate intelligent decision-making at scale.

Decryptogen offers full-cycle blockchain development, from smart contract engineering to deployment of secure decentralized applications (dApps). Our expertise includes Ethereum, Hyperledger, and custom chains with built-in compliance (e.g., GDPR, KYC) and auditability features.

Decryptogen created an AI-powered emotion and behavior analysis platform for student-teacher interaction. It leverages GenAI and NLP to adapt content, detect engagement levels, and provide personalized learning recommendations that improve outcomes and reduce dropout rates.

Decryptogen’s 24/7 AWS support service integrates AI for anomaly detection, predictive alerts, and auto-remediation. Using AWS CloudWatch, Lambda, and proprietary ML, we ensure proactive monitoring, SLAs adherence, and minimal downtime across complex cloud environments.

Decryptogen leverages advanced NLP and AI sentiment models to extract emotional cues from guest reviews, surveys, and interactions. These insights help hotels and resorts identify dissatisfaction trends, personalize service recommendations, and proactively resolve guest issues—resulting in improved Net Promoter Scores (NPS) and customer retention.

Decryptogen provides end-to-end AWS migration for digital education platforms, encompassing re-platforming legacy applications, setting up scalable AWS infrastructure (RDS, Lambda, ECS Fargate), integrating AI models for personalized learning, and ensuring compliance with data security and education standards.

Decryptogen architects real-time analytics platforms using Amazon Redshift for scalable querying, AWS Glue for ETL processing, and Lake Formation for governance. This enables logistics, healthcare, and finance clients to gain insights from millions of daily transactions and visualize KPIs instantly.

Decryptogen builds fully governed AWS-native data lakes using Amazon S3, Glue Crawlers, and Lake Formation. We enforce role-based access control, encryption-at-rest, and lineage tracking, enabling self-service analytics with full compliance in regulated industries like healthcare and fintech.

Decryptogen’s agentic AI copilots integrate with SIEM tools to analyze logs in real time, detect anomalies, and even auto-remediate low-level incidents. These AI tools support AWS GuardDuty, CloudTrail, and Lambda integrations, helping security teams scale and respond proactively.

Decryptogen applies AI models to forecast container workloads, auto-tune pod configurations, and scale EKS clusters efficiently. Our intelligent autoscaling solutions reduce underutilization and cloud costs while maintaining performance during traffic bursts.

Decryptogen uses LLMs and GenAI to interpret macroeconomic shifts, predict supply chain disruptions, and generate executive summaries. Our AI integrates external data (e.g., trade flows, inflation, geopolitical risks) with internal ERP data to help leaders make informed decisions.

Decryptogen sets up Amazon OpenSearch Service for centralized log search and visualization. With real-time indexing, anomaly detection, and dashboards, enterprises use our solution for DevOps monitoring, compliance audits, and security incident analysis at scale.

Decryptogen delivers turnkey cloud governance blueprints tailored for healthcare, finance, and government clients. These frameworks include IAM policies, budget enforcements, data residency controls, and audit mechanisms aligned with ISO 27001, GDPR, and HIPAA standards.

Decryptogen collaborates with government bodies to build AI platforms that improve urban services—such as waste classification, public sentiment monitoring, and infrastructure diagnostics. Our smart city AI solutions are scalable, secure, and compliant with public-sector requirements.