GRC SaaS App with DeepSeeQ Integration

@AwaisChaudhry

My name is Muhammad Awais, and I am the CEO of ZAWN Tech. We have been delivering comprehensive IT and Engineering solutions for over a decade with a team of in-house certified developers who span across multiple domains, including AI development, cloud computing, and mobile app development—exactly the expertise required for your project at hand. Building a GRC platform from scratch that leverages the significant power of DeepSeeQ APIs is challenging but incredibly exciting to us. We've had considerable success in developing scalable enterprise applications with complex features and strong offline capabilities akin to your needs. Our notable projects include full-stack SaaS platforms integrating payment systems, tailored API development for streamlined workflows, ML-powered compliance analytics, and native mobile app development showcasing strong offline-first synchronization. This experience would directly translate into creating an efficient GRC platform that integrates seamlessly with the DeepSeeQ platform while giving you 30-day free trials and onboarding expert auditors—a platform that'll be resilient, secure-scaled for the future.

@corpmember29

BUILD A FUTURE-READY AI GRC PLATFORM THAT AUTOMATES COMPLIANCE—NOT JUST TRACKS IT. With 12+ years in SaaS, AI systems, and cloud-native architecture, we can deliver RegulaForge as a scalable, secure, and fully agentic GRC platform aligned with your vision and OCI requirements. Approach: We’ll implement a modular, event-driven architecture using FastAPI microservices, PostgreSQL (RLS + pgvector), and Redis, orchestrated via n8n + Hermes for workflows and event streaming. AI layer (Ollama + Opus-MT) will power regulation discovery, document analysis, and automated remediation. User Roles: • Admin (tenant, billing, system control) • Compliance Officer (frameworks, audits, reports) • Risk Manager (monitor risks, trigger actions) Core Features (MVP): • Multi-tenant backend with strict RLS • AI-driven regulation discovery & document pipeline • Offline-first mobile apps with sync • Agentic workflows (auto follow-ups, escalations) • Real-time analytics via DeepSeeQ integration • Subscription billing (Paystack/Flutterwave) • No-code reporting & exports Workflow: Data ingestion → AI processing → risk detection → agent triggers → notifications/actions → dashboard insights Tech & Infra: OCI (Ampere A1), Docker → Kubernetes, Terraform/Helm IaC, Keycloak auth, Prometheus/Grafana monitoring

@kareemmaize

Hi, the clean way to build RegulaForge is as one governed compliance operating system, not a collection of AI services and dashboards. A real flow would be: tenant is provisioned on OCI - users authenticate through Keycloak with tenant-scoped access - regulations and documents are ingested into a governed backend - AI extracts obligations, gaps, and signals - DeepSeeQ surfaces analytics and indicators - event-driven workflows trigger follow-ups or escalations - evidence, actions, and audit trails remain tied to the same tenant-safe record model. That is the backbone that needs to be right first. These platforms often look feature-rich, but fail when document analysis, risk workflows, and tenant controls are designed separately. One real issue is an agent producing a valid remediation action while the supporting evidence, role permissions, or tenant audit trail are not aligned, which makes the system harder to trust in real compliance use, so I would handle it by centering everything on one shared tenant, evidence, and workflow state model before expanding channels and analytics. The part to get right early is the multi-tenant workflow and evidence architecture, because that controls both security and long-term maintainability.

@AITSoft

Hello, I understand you want a full-fledged GRC SaaS on OCI with DeepSeeQ as the analytics core, built with an agentic, event-driven approach that minimizes human input. I’ll design a scalable, multi‑tenant backend (FastAPI, PostgreSQL, RLS), AI-powered discovery and translation, offline-first mobile apps, and clean APIs with solid observability. The project will be delivered as IaC (Terraform/Helm) for OCI, with Kubernetes readiness, Open-Source backbones ( Hermes for events ) and ready-made connectors for future channels. I will ensure role-based access is baked into the code and that DeepSeeQ dashboards reflect real-time risk indicators. The MVP will cover 30‑day trials, 250+ frameworks, and an auditor marketplace, with a modular billing path. Key questions for you: - What are the top 5 regulatory frameworks to seed the 250+ list, and any preferred alignment/translation needs? - Do you require on-premish-like data residency controls within OCI regions beyond standard tenancy isolation? - Which channels (WhatsApp/Telegram/Email) must be enabled at launch, and what data would flow through these channels? - What are your critical SLA and uptime targets for the core GRC services and the agentic remediation engine? - Any specific security/compliance standards (e.g., SOC2, ISO 27001) you want baked into the initial design? What are your top regulatory frameworks to seed the MVP and translation needs? Best regards, Shamshad

@Herculesz

Hi, I can help you develop the RegulaForge platform, a scalable GRC solution that automates compliance tasks using AI-driven workflows. The system will be built using the latest technologies like FastAPI, PostgreSQL, and DeepSeeQ for real-time compliance analytics. I’ll focus on creating a secure, multi-tenant backend, with event-driven automation for tasks like regulation discovery, document analysis, and risk remediation. I have extensive experience in building complex, open-source platforms with AI integration, and I’m familiar with the OCI stack, Kubernetes, and offline-first mobile apps. I will ensure the platform is secure, maintainable, and scalable, while delivering strong integration with AI/ML tools like Ollama and Opus-MT. Thanks, Hercules

@Srashtasoft

Hi there, I have read your project requirement. You need to build RegulaForge, an AI-native, multi-tenant GRC platform on OCI with FastAPI backend, PostgreSQL (pgvector), DeepSeeQ integration, agentic workflows, offline-first mobile apps, and full DevOps automation using IaC. We can design and develop a scalable microservices architecture aligned with your stack, including multi-tenant RLS, event-driven workflows, AI pipelines (Ollama + embeddings), and DeepSeeQ-powered analytics. The platform will include secure RBAC (Keycloak), offline-capable mobile apps, observability (Prometheus/Grafana), and automated deployment on OCI using Terraform/Docker with future Kubernetes support. A few questions to clarify before proceeding: ===================================== Do you want Kubernetes (OKE) included in Phase 1 or start with Docker-based deployment and scale later? Is DeepSeeQ API access already available, or should we handle full integration setup? Should event streaming strictly use Hermes or can we consider alternatives like Kafka/NATS if needed? Do you want WhatsApp/Telegram/email connectors implemented in Phase 1 or structured for later activation? Best Regards, Srashtasoft Team

@zainalitariq245

Hi, I’ve read your RegulaForge brief carefully, and this is not a standard GRC build it’s closer to an AI-native compliance operating system with multi-tenant SaaS architecture, offline-first mobile, and an event-driven agent layer on OCI. That means the early architecture decisions will define whether this scales or becomes fragile later. The real complexity is the agentic workflow layer. You’re essentially building an event-driven system where uploads, compliance gaps, and regulation updates trigger automated workflows. That requires a strict event backbone schemas, idempotency, retries or the system will become unstable as usage grows. DeepSeeQ should be treated as a first-class decision and analytics layer, not just a dashboard. Structuring data so compliance events and risk signals are analytics-ready at ingestion will enable real-time visibility instead of delayed reporting. Before I break this into sprint-level architecture: should DeepSeeQ only visualize compliance data, or also trigger automated compliance actions? And do you prefer a fast MVP 6–10 weeks or a more production-hard foundation even if it takes longer? Once confirmed, I can map the full OCI deployment architecture, event system design, and phased delivery plan clearly before development starts. I'm waiting for your any kind of response. Thanks.

@shadabkhan92

With over a decade of experience as AI-systems builders, our team at [Your Company Name] is more than ready to take on the challenge that is your GRC SaaS App with DeepSeeQ Integration project. The technical nimbleness we exhibit while delivering AI strategies that not only meet your requirements but work flawlessly in production infrastructure is the reason we stand out. Agentic AI is our skillset with automated task-driven ML models and LLM integrations at our fingertips, just the thing you need for this government, risk and compliance-focused endeavor. The cloud stack you mandate aligns closely with our capabilities as we are proficient in AWS, GCP, and Azure. Our open-source ideology echoes loudly in your open-source-based tech-stack. Be it building secure multi-tenant systems, deploying applications via Kubernetes or serverless, or ensuring observability and maintainable code—we've got it all covered. Our proven track record includes Odoo-ERP implementation to create end-to-end business solutions; IoT integration for reading live sensor data and actionable insights which align heavily with your app's requirements.

@rbtech1984

Hello There!!! ★★★★ (Building scalable AI-native GRC SaaS with OCI + DeepSeeQ integration expertise) ★★★★ Project understanding: Need multi-tenant GRC SaaS on OCI with DeepSeeQ integration, agentic automation, offline mobile apps and secure RBAC. Focus on scalable APIs, event-driven workflows, IaC deployment and testing. ⚜ OCI+Docker/K8s + IaC setup ⚜ FastAPI + PostgreSQL RLS multi-tenant ⚜ DeepSeeQ analytics integration ⚜ Redis/n8n event automation flows ⚜ iOS/Android offline sync apps ⚜ Keycloak auth + RBAC security ⚜ CI/CD + tests + monitoring Strong experience in Python, FastAPI & SaaS microservices. Will build scalable clean architecture and API-first system. Ready to start sprint planning. Warm Regards, Farhin B.

@toriquldev123

At Toriqul Global Solutions, we transform ideas into high-performing digital products. We are a professional web development agency led by Engineer Md. Toriqul Islam brings over a decade of expertise in designing and developing websites, applications, and custom digital solutions. What We Deliver: ✔ Stunning modern websites ✔ Powerful custom web applications ✔ Mobile apps for Android & iOS ✔ E-commerce platforms ✔ Business automation systems ✔ SEO-friendly and fast-loading websites Our Tech Stack: React, Node.js, Laravel, PHP, WordPress, Python, .NET, MySQL, MongoDB, React Native, Bootstrap, JavaScript, and more. Why Clients Trust Us: • Business-focused solutions • Clean UI/UX design • Secure & scalable systems • Reliable deadlines • Transparent communication • Excellent after-sales support We don’t just build websites, we build results. Let’s create something amazing together. Best Regards, Toriqul Global Solutions

@mughiraaa

Hi, I’m Mughira, and I can build this GRC platform for you with OCI deployment, FastAPI backend, DeepSeeQ integration, and the multi-tenant architecture needed for long-term scale. I’ve worked on similar backend-heavy SaaS systems where security, automation, API integrations, and cloud deployment were the main priority from day one. I can do this and make sure the platform is clean, secure, and launch-ready. Let’s have a quick meeting so I can understand your current setup and get started. What time works best for you?

@mobiwebsolutions

✋ Hi There!!! ✋ THE PROJECT GOAL:- BUILD AN AI NATIVE MULTI TENANT GRC SAAS PLATFORM ON OCI WITH DEEPSEEQ INTEGRATION AND AGENTIC AUTOMATION WORKFLOWS I have carefully read and understood your requirement to build a scalable open source GRC platform with OCI deployment, DeepSeeQ analytics, and event driven automation. I am the best fit because I specialize in complex SaaS architecture with AI, cloud infrastructure, and secure multi tenant systems. * OCI deployment using Docker, Kubernetes and IaC automation * DeepSeeQ integration for real time risk analytics and dashboards * FastAPI backend with PostgreSQL RLS multi tenant secure architecture I will provide UI design, database management, testing, full source code delivery, CI/CD setup and essential deployment automation. I have 9+ years experience as a full stack developer building SaaS platforms, AI driven systems and cloud native microservices. I have completed similar enterprise SaaS and compliance automation platforms with AI and multi tenant cloud deployments. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@jeanpatrickr8

Hello, I appreciate the opportunity to bid on your Governance, Risk, and Compliance application project. I understand you need a robust, AI-native GRC platform built on Oracle Cloud Infrastructure, integrated with DeepSeeQ, and designed with an agentic approach for automation and configurability. With over five years of experience in developing scalable SaaS applications, I specialize in utilizing FastAPI, PostgreSQL, and Docker for backend solutions. My recent projects involved building multi-tenant systems with strong security features and seamless mobile integrations, ensuring a smooth user experience across platforms. To successfully deliver your project, I propose the following approach: - Set up a secure OCI environment, leveraging Terraform for automated deployment. - Develop a multi-tenant backend with row-level security and robust API design. - Implement the regulation discovery engine and document ingestion pipeline for efficient data processing. - Collaborate closely on integrating DeepSeeQ for real-time compliance analytics. I am excited about the potential of this project and confident in my ability to meet your goals with high-quality results. I am available to discuss further details and can start immediately to bring your vision to life. Thank you for considering my bid!

@alizain721

You need an agentic, OCI‑hosted GRC that uses DeepSeeQ as the live analytics/collaboration layer — that event-driven automation is the core value, not just an add-on. The real challenge is making multi‑tenant data boundaries, agent workflows, and offline mobile sync behave predictably under real-world latency and failures. I recently delivered a FastAPI/Postgres GRC prototype on OCI that used vector search for regulation discovery and n8n-driven agent remediation, with Keycloak OIDC and Terraform deployment for repeatable infra. I would implement tenant-aware schemas + RLS, a DeepSeeQ adapter for streaming indicators, an n8n supervisor agent for escalations, and mobile sync with conflict resolution; everything deployed via Terraform to your OCI tenancy and covered by basic unit/integration tests and a short runbook. Quick question: do you already have a DeepSeeQ sandbox and OCI tenancy in Johannesburg, or should I provision test resources for the MVP?

@AlexVydrin

Hi, I’m a good fit for RegulaForge — the stack, the architecture style, and the agentic workflow model align closely with systems I’ve built before. I’ve worked with FastAPI, PostgreSQL/pgvector, Redis, Keycloak, n8n, and Ollama‑based pipelines, and I’m comfortable designing multi‑tenant backends with RLS, event‑driven automation, and clean API boundaries. I also have experience deploying on OCI (Ampere A1), setting up IaC, and building observability with Prometheus/Grafana/OpenTelemetry. On the AI side, I’ve implemented document‑ingestion pipelines similar to what you describe: upload → detect → translate → extract → vectorize → generate gap/summary outputs. I can also design the supervisor‑agent + corrective‑action workflow using n8n or a lightweight event bus so remediation steps trigger automatically. For mobile, I can structure the sync layer so SwiftUI/Jetpack apps work offline with conflict resolution and background jobs. I can deliver a clean, modular codebase with RLS, DeepSeeQ integration, subscription/billing hooks, and the initial set of compliance frameworks. Deployment scripts (Terraform/Helm), unit/integration tests, and a run‑book for adding new channels like WhatsApp/Telegram will be included.

@Kishoreindia

Dear Sir/Madam, I am an experienced Python Developer with strong expertise in building scalable backend systems, APIs, automation tools, and full-stack applications. I specialize in delivering clean, efficient, and production-ready solutions. I have successfully developed and deployed multiple live applications including healthcare platforms, legal service apps, school management systems, fintech apps, and real-time communication systems. My Core Python Expertise ✔ Django & Django REST Framework ✔ FastAPI (High-performance APIs) ✔ Flask ✔ SQLModel / SQLAlchemy ✔ PostgreSQL / MySQL / MongoDB ✔ Supabase Integration ✔ Authentication (JWT, OAuth) ✔ Payment Gateway Integration (PhonePe, Razorpay, Stripe) ✔ Web Scraping (BeautifulSoup, Selenium) ✔ Automation Scripts ✔ WebSocket & Real-time Systems ✔ Docker Deployment ✔ AWS / VPS Deployment ✔ REST API Design & Optimization What I Can Build For You Secure REST APIs SaaS backend architecture Admin dashboards Real-time chat systems Payment systems Data processing systems Microservices architecture AI/ML API integration Custom business logic systems Recent Project Experience Healthcare booking & wallet system Legal consultation backend platform School ERP & management API Fintech wallet & transaction management Real-time chat application (WebSocket + MQTT) Location-based services & geo APIs

@ashinnd84

Hello there, we are a team of Full Stack Developers in Web, Mobile and Data Analysis. Please, send me a message to discuss the work and finish in no time. Thanks Ashish Kumar.

@wasifmuneer

Hi there, I’d be happy to discuss your project—feel free to start a chat anytime. I’m a full-stack developer with solid experience building scalable web and desktop applications, and I’m confident I can deliver your project efficiently and on time. I also have strong exposure to modern technologies including Web3 concepts, DevOps practices, and automation. I’m a Kubernetes enthusiast with hands-on experience using Docker containers and deploying applications on Linux servers. My expertise includes: MERN / MEAN Stack (development + team management) .NET Core APIs with Angular, including D3.js data visualizations Azure Logic Apps, SharePoint, and workflow automation (PowerApps familiarity) Salesforce development with Apex, Visualforce, and integrations via .NET APIs DevOps basics, containerization, and application hosting on Linux Automation workflows and AI-based tools to improve efficiency I bring a problem-solving mindset and full project lifecycle experience—from development to deployment. Looking forward to hearing from you. Thank you!

@adily1

Hey , I just finished reading the job description and I see you are looking for someone experienced in iPhone, Kubernetes, AI Development, Cloud Computing, Android, PostgreSQL, Python, API Development, Mobile App Development and FastAPI. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Adil.