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Project objective Build a multi-tenant, agentic analytics SaaS platform where enterprise customers connect their data, let AI agents clean and govern it, analyze it, generate dashboards and reports, and activate insights into downstream communication and media systems. The platform should also include natural language querying, automated experiment design, recommendation engines, and agent templates so users can move from raw data to action faster. Scope of work 1. Develop a secure multi-tenant SaaS architecture with tenant isolation, role-based access, audit logs, SSO/SCIM, usage metering, billing, and subscription management. Consumption-based pricing and run-level logging are common patterns in modern analytics platforms. 2. Build data connectivity and ingestion services for structured and unstructured sources, including databases, cloud warehouses, files, APIs, ad platforms, CRM systems, and communication platforms. The ingestion layer should support batch and near-real-time processing. 3. Create AI agent workflows for data profiling, cleaning, normalization, deduplication, transformation, and semantic tagging so data can be organized into reusable governed datasets. Agentic platforms increasingly emphasize automated documentation, quality, and reusable data products. 4. Implement a governance and metadata layer that manages lineage, classifications, permissions, policy enforcement, retention rules, and approval workflows. Governance controls should be available to both human administrators and agents. 5. Deliver analytics capabilities for descriptive, diagnostic, predictive, and prescriptive analysis, including self-service exploration, KPI tracking, anomaly detection, forecasting, and yield management. Modern analytics platforms already highlight anomaly detection, automation, and governed self-service as core capabilities. 6. Build customer journey analytics that maps touchpoints across channels, identifies paths, attrition points, conversion moments, and segment behavior, and produces journey maps and recommended interventions. This should support identity resolution and cross-channel deduplication where needed. 7. Add cross-channel media measurement to calculate deduplicated reach, frequency, overlap, incremental reach, lift, and channel contribution across media sources such as paid media, email, SMS, web, and social. Cross-channel measurement depends on linked exposures across channels and campaign-level frequency and outcome measurement. 8. Enable audience clustering and segmentation using AI-driven clustering, propensity scoring, similarity models, and audience scoring to support targeting, personalization, and optimization. 9. Provide dashboard, report, and narrative generation tools so agents can create executive summaries, operational reports, and embedded dashboards in reusable templates. 10. Integrate activation and optimization workflows so insights can be pushed to media buying, marketing automation, customer communication, and other execution platforms via APIs, webhooks, or orchestration protocols. 11. Include model management, explainability, evaluation, versioning, and human review so outputs are traceable and safe for enterprise use. 12. Natural language query. Users should be able to ask questions in plain English and have the platform translate them into governed queries, visualizations, and summaries. This should work across the customer’s approved datasets and respect permission boundaries. Natural language query support is a common feature in modern analytics environments and improves self-service adoption. 13. Recommendation engine. The platform should generate recommendations for campaign optimization, audience selection, channel allocation, budget shifts, operational actions, and revenue improvement. Recommendations should be explainable, ranked by confidence or expected impact, and optionally tied to experiments or lift measurements. 14. Automated experiment design. The system should support automated test planning, including holdouts, geo tests, time-based incrementality tests, channel pause tests, and budget reallocation studies. The agent should be able to propose the test design, identify required sample sizes or constraints, monitor the test, and summarize the lift. 15. Agent library. The product should include a library of reusable agents, workflows, connectors, and templates. Customers should be able to add approved modules for journey analytics, media measurement, forecasting, anomaly detection, and industry packs without custom development. Functional modules | Module | Required capabilities | | Data ingestion | Connectors, file/API import, streaming, schema mapping, validation. | | Data prep agents | Cleaning, deduplication, normalization, enrichment, tagging. | | Governance | RBAC, lineage, catalog, policy engine, audit trail, approvals. | | Analytics engine | KPI definitions, BI queries, anomaly detection, forecasting, clustering. | | Journey intelligence | Touchpoint stitching, path analysis, journey maps, drop-off analysis. | | Media measurement | Reach, frequency, overlap, lift, incrementality, audience exposure tracking. | | Activation layer | APIs, webhooks, sync to ad/CRM/email/communications systems. | | Reporting layer | Dashboards, scheduled reports, AI-written summaries, exports. | | Monetization | Tenant plans, usage metering, quotas, overage billing, contract admin. | Deliverables - Product requirements document and technical architecture. - Multi-tenant SaaS application with admin console and customer workspace. - Data ingestion and governance framework. - Agent orchestration layer with workflow definitions and approvals. - Analytics, dashboard, and reporting experience. - Customer journey and media measurement modules. - Activation connectors and optimization workflows. - Billing, usage metering, and licensing system. - Security, compliance, logging, and audit documentation. - QA test plan, deployment plan, and operational runbooks. Nonfunctional requirements - Enterprise-grade security, encryption in transit and at rest, and full auditability. - Scalable architecture that supports variable usage and high-volume workloads. - Explainable outputs with human override for sensitive actions. - High availability, backup, disaster recovery, and monitoring. - Compliance support for customer-specific regulatory obligations. Commercial model The platform should be sold as SaaS with usage-based billing tied to data volume, compute, active agents, API calls, or activation events. That model aligns with modern usage-based analytics products and supports customer growth without forcing a one-size-fits-all license. Must sign a non-disclosure agreement and IP ownership assignment.
Project ID: 40393353
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159 freelancers are bidding on average $2,570 USD for this job

⭐️⭐️⭐️ Enterprise Agentic Analytics SaaS Platform (Multi-Tenant, AI-Driven)⭐️⭐️⭐️ I checked Jd and you’re building a highly complex, enterprise-grade, multi-tenant analytics SaaS with agentic AI workflows, governance, and activation—not just a BI tool; I can architect and implement this end-to-end with a scalable microservices stack, strict tenant isolation, and production-ready data + AI pipelines. I’ll deliver a secure, modular platform with ingestion, governance, analytics, agent orchestration, and usage-based billing—designed for performance, explainability, and enterprise compliance. Features: Multi-tenant SaaS (RBAC, SSO/SCIM, audit logs, billing), data ingestion (batch + real-time connectors), AI data agents (cleaning, enrichment, tagging), governance & lineage layer, analytics engine (BI, anomaly detection, forecasting), journey analytics & media measurement Let’s chat… Thanks
$1,900 USD in 24 days
9.6
9.6

With over a decade of experience in high-scale systems and AI-driven analytics, I understand the importance of building a secure multi-tenant SaaS platform like your AI Agentic Analytics Platform. My background in developing solutions for enterprise customers, including data governance, analytics, and downstream communication systems, directly aligns with your project goals. One strategic insight I can offer is to prioritize data connectivity and ingestion services to ensure seamless integration of structured and unstructured data sources. I have a proven track record of handling complex data workflows, evidenced by successfully building Telegram Mini Apps serving over 1 million users. I encourage you to reach out so we can discuss the roadmap for your AI Agentic Analytics Platform in further detail. I am confident that my expertise in developing high-performance solutions for complex data analytics projects will be a valuable asset to your team.
$2,400 USD in 30 days
8.9
8.9

This looks like a great fit, I will architect and deliver the multi-tenant agentic analytics platform — tenant-isolated SaaS infrastructure, AI agent orchestration layer, data ingestion/governance framework, and the full analytics-to-activation pipeline including journey intelligence, media measurement, and natural language querying. For a system this broad, I will design the agent orchestration around a task graph with gated approvals — each agent (cleaning, forecasting, activation) operates as an isolated execution unit with lineage tracking baked in. This keeps outputs explainable and auditable while allowing agents to compose into larger workflows without brittle coupling. Questions: 1) Do you have a preferred cloud provider or infrastructure constraint — AWS, GCP, Azure — for the compute and warehouse layer? Looking forward to discussing further. Best regards, Kamran
$1,550 USD in 25 days
8.4
8.4

Hi, This is Elias from Miami. I checked your project description and understand you’re looking to build a multi-tenant analytics SaaS platform aimed at enterprise customers. This platform will leverage AI to provide insightful analytics and predictive capabilities. I’ve worked on several similar platforms and understand the key technical challenges involved. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – What specific user roles do you envision for the platform? – Q2 – Are there any existing systems you'd like to integrate with? – Q3 – What kind of data sources will the analytics engine need to support? Looking forward to hearing from you.
$2,500 USD in 10 days
8.0
8.0

⭐⭐⭐⭐⭐ Build a Powerful Multi-Tenant Analytics SaaS Platform ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a multi-tenant analytics SaaS platform. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects focused on building efficient analytics solutions. I will use proven methods to create a secure architecture, integrate data sources, and implement AI-driven features, all within your budget. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in SaaS development, focusing on data integration, analytics, and AI solutions. My expertise includes building secure architectures, developing data ingestion services, and creating intuitive dashboards. Additionally, I have a strong grip on cloud technologies, data governance, and analytics frameworks. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ SaaS Architecture ✅ Data Integration ✅ AI Workflows ✅ Data Governance ✅ Analytics Development ✅ Cloud Technologies ✅ Dashboard Creation ✅ Role-Based Access Control ✅ API Development ✅ Security Compliance ✅ User Experience Design ✅ Automated Reporting Waiting for your response! Best Regards, Zohaib
$1,800 USD in 2 days
8.1
8.1

Hello, I’m Shamshad and I understand you need a secure, multi-tenant AI agentic analytics SaaS that connects data sources, cleans and governs data, runs analytics, generates dashboards/reports, and pushes insights to downstream systems. My approach is to design a resilient, scalable platform with clear governance, robust data ingestion, explainable AI, and strong activation capabilities. I’ll deliver an architecture and PRD, then a working SaaS with admin and tenant workspaces, modular agent libraries, and reusable templates. I’ll implement natural language querying, automated experiment design, and a recommendation engine with explainability and human review hooks. The result is a governed data platform that moves from raw data to actionable insights across journeys, media, and activation points, with transparent, auditable outputs. Key questions I’ll ask you to tailor the solution: What is the top-priority data source and the critical governance requirement we must enforce from day one? What data sources will be first-priority for ingestion, and which approvals are required to connect them? What is your preferred tenant isolation model and RBAC scheme (roles, access, and audit needs)? Which datasets require strict retention, lineage, and policy enforcement rules from day one? How do you want the activation layer to surface results (APIs, webhooks, or both), and what are target downstream systems? What governance controls and explainability hooks must be in place for ente
$3,000 USD in 18 days
7.2
7.2

Hello, {{{ I HAVE CREATED SIMILAR BEFORE AND I CAN SHOW YOU }}}} I am having more then 10+ years of experienced in programming and i believe that i can start working step by step and achieve the project goal in short time frame. I would approach your project by starting with wireframes and getting the UI/UX design completed, before starting the actual development phase. We'll provide You high Quality Design and development for you with unlimited changes in design. I WILL PROVIDE 2 YEARS OF FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. WE WILL WORK WITH AGILE METHODOLOGY AND WILL ASSIST YOU FROM ZERO TO PUBLISHING ON STORES. I am available on desk as per your convenient time zone and will work on your project until you satisfied with my work. Awaiting your po sxdcyhszhsitive response. Thanks
$1,500 USD in 7 days
7.4
7.4

As an AI and Cloud Developer with extensive experience in building scalable backend systems and AI-powered platforms, I believe I am the perfect fit to undertake the development of your AI Agentic Analytics Platform. My work involves creating intelligent applications that seamlessly merge cloud infrastructure, AI models, and responsive web interfaces for data management and visualization - skills that are essential for accomplishing the tasks in your project requirements. My proficiency in powerful languages such as Python and Node.js enables me to deliver reliable and scalable applications, which is crucial for a multi-tenant SaaS architecture like the one you seek. Additionally, I have thoroughly enjoyed delving into and applying Machine Learning (ML) and Natural Language Processing techniques to solve complex data challenges like yours. The ability for users to ask questions in plain English and get meaningful results through natural language querying is paramount for driving self-service adoption - a feature I can confidently build. Furthermore, my working knowledge extends to MySQL, which will be valuable in not only building robust data connectivity but also managing metadata.
$3,000 USD in 60 days
7.0
7.0

Hello! | I see you're building a multi-tenant agentic analytics SaaS platform for enterprise clients. | Ensuring data isolation and seamless scalability are key challenges often underestimated in such projects. | I’m confident Smart Sols can deliver a robust, secure, and flexible platform tailored to your needs. | How do you envision integrating agentic AI capabilities to enhance your analytics? | Let’s discuss how we can bring this vision to life within your budget.
$2,550 USD in 21 days
6.9
6.9

Hello, I’d be excited to help you shape this agentic analytics platform into a clean and powerful multi-tenant system. I’ve built data-heavy SaaS tools before, so I can support everything from ingestion and governance to agent workflows and activation. Your project combines advanced analytics, AI agents, and governed automation, and I can keep the build simple, secure, and scalable while staying aligned with enterprise standards. Thanks, Teo
$2,000 USD in 10 days
6.5
6.5

Hi We propose a secure multi-tenant system with strict tenant isolation, RBAC, SSO/SCIM, audit logs, and usage-based billing. Our team will design a robust data ingestion layer supporting batch and near real-time pipelines across databases, APIs, CRMs, and media platforms. We will implement AI-driven agent workflows for data cleaning, transformation, semantic tagging, and governance—ensuring high-quality, reusable datasets with full lineage and policy control. On top of this, we’ll build a powerful analytics engine covering KPI tracking, anomaly detection, forecasting, clustering, and journey intelligence. Your platform will include natural language querying, automated experiment design, and explainable recommendation engines to move users from insight to action quickly. We’ll also develop dashboards, narrative reports, and activation pipelines via APIs/webhooks to downstream systems. The solution will include an extensible agent library, model governance (versioning, evaluation, explainability), and human-in-the-loop controls for enterprise safety. Deliverables include full architecture, SaaS application, ingestion & governance framework, analytics modules, billing system, and operational documentation. We ensure high availability, scalability, and compliance readiness. We’re ready to sign NDA and IP assignment and begin with a detailed technical roadmap. Best Infineosoft
$2,900 USD in 30 days
6.3
6.3

Hi, I have 9 years experience in (Python, Node.js, AI/ML systems, data analytics platforms, multi-tenant SaaS architecture, and API-driven systems). For this project, I am going to approach it as a scalable, modular SaaS platform by designing a strong multi-tenant architecture with secure data isolation, then building an agent orchestration layer that handles ingestion, cleaning, governance, analytics, and activation workflows end to end. I have real hands-on experience working on AI-driven systems, data pipelines, and complex backend architectures, so I can structure this platform with clear separation between data, agents, and execution layers while ensuring performance, explainability, and enterprise-grade security. The focus will be on delivering a clean foundation with extensible agent workflows, reliable data processing, and a reporting/activation layer that allows users to move from raw data to actionable insights without friction. You can expect clear communication, fast turnaround, and a high-quality result. Best regards, Juan
$1,500 USD in 7 days
5.9
5.9

With my career dedicated to the intersection of AI, data, and backend engineering, I am confident in my ability not only to build your AI Agentic Analytics Platform but also to make it a success. From predictive models to deep learning, I've gained significant experience in employing Machine Learning (ML) algorithms in real-world scenarios just like yours. I am particularly adept at developing AI-driven systems to provide actionable insights from complex data by integrating numerous sources through efficient data connectivity and ingestion services. Another skill of mine that aligns well with your project needs is my proficiency in building secure multi-tenant SaaS architectures. Your requirement for tenant isolation, role-based access control, and secure single sign-on resonates with the priority I place on delivering systems that are stable, maintainable, and above all, secure. Additionally, my expertise encompasses effective governance and metadata management for enterprise scale projects like yours.
$2,250 USD in 7 days
5.5
5.5

As a seasoned Machine Learning engineer with an impressive track record in deploying complex AI systems, especially in the areas of Computer Vision and Natural Language Processing (NLP), I humbly present myself as the ideal candidate for your project. With over a decade of experience in the field, including leading key AI-powered projects for reputed organizations like Unilever Pakistan and State Bank of Pakistan, I possess the acumen to understand intricate analytics requirements and build robust, end-to-end solutions. Additionally, my technical skills extend beyond ML; I'm fluent in Python, R Programming, SQL and more which would prove invaluable in designing the secure multi-tenant SaaS architecture with tenant isolation, billing systems et al that your project requires. My experiences extend far further platform development: having actively engaged in Post Doc research even after earning a PhD’s degree from COMSATS University just strengthens my understanding of all aspects pertaining to the field of Data Science & Analytics. My understanding으
$1,500 USD in 7 days
5.9
5.9

Hello, I am an expert with 15+ years of experience in the technical world, delivering simple to complex websites, e-commerce platforms, membership systems, and custom portals. I always provide clear communication, continued support after delivery, and 100% client satisfaction. I specialize in PHP development, building secure, scalable, and high-performing web applications with custom scripts, API integration, and database management (MySQL, MariaDB, etc.). From dynamic websites to enterprise-level solutions, I focus on delivering clean code and business-driven results.
$1,500 USD in 7 days
5.5
5.5

Hello! I am a US-based senior software engineer with extensive experience in building multi-tenant SaaS platforms, particularly in AI and analytics. I've carefully read your project description, and I understand the importance of creating a robust analytics platform that caters to enterprise clients. With over 15 years of experience in PHP, Python, and machine learning, I have developed and scaled several production-grade applications. My past projects include a predictive analytics dashboard for a financial services firm and an AI-driven customer support tool that utilizes natural language processing. Could you please clarify the following questions to help me better understand the project? 1. What specific analytics features are you envisioning for the platform? 2. Do you have any preferred integrations with existing systems or data sources? 3. How do you envision the user experience for enterprise customers? I believe in structured milestones and clear communication to ensure a smooth development process. My goal is to create an analytics platform that not only meets your requirements but also drives significant value for your users. Let’s connect and discuss how I can bring your vision to life. Best, James Zappi
$2,500 USD in 10 days
5.2
5.2

Hello, I appreciate the opportunity to bid on your project to develop a multi-tenant, agentic analytics SaaS platform. I understand that you seek a comprehensive solution that facilitates data connectivity, AI-driven insights, and seamless integration with existing communication systems. With over five years of experience in building scalable SaaS applications, I have a strong background in multi-tenant architecture, data ingestion, and governance frameworks. I am proficient in tools such as AWS, Azure, and various data processing technologies that will help create the robust infrastructure you need. To successfully deliver this project, I would approach it as follows: - Design a secure, multi-tenant architecture with essential features like role-based access and usage metering. - Develop data ingestion services that support diverse data sources and real-time processing. - Implement AI agent workflows for data cleaning and normalization, ensuring high-quality, governed datasets. - Create analytics capabilities that encompass predictive and prescriptive analysis, along with customizable dashboards. I am eager to collaborate on this innovative project, confident in my ability to meet your requirements and deadlines. Please feel free to reach out for further discussion—I am ready to start immediately.
$1,500 USD in 7 days
4.7
4.7

As a highly skilled web developer with extensive experience in building scalable and performant applications, I believe I would be an ideal fit for your AI Agentic Analytics Platform project. My expertise in React and Node.js aligns perfectly with your objectives of developing a secure multi-tenant SaaS platform with data connectivity, ingestion services, and analytics capabilities. In addition to my technical know-how, I bring a deep understanding of the role such a platform plays in enterprise operations. I understand that data is the lifeblood of any business, and it's crucial to manage it effectively. Throughout my career, I have emphasized governance, lineage, classification and permissions which are all and more that you seek for. Lastly, my approach as a freelancer mirrors the concerns expressed in your project brief. I am driven by a focus on quality work that prioritizes long-term solutions over short-sighted quick fixes. This mindset aligns with your need for a system that evolves dynamically to meet changing business demands. Work with me, and I guarantee not only the delivery of a solution that meets your requirements but also a commitment to support its growth even after our association ceases.
$1,500 USD in 20 days
4.9
4.9

You want an agentic analytics platform that reliably takes enterprise data through governed cleaning to actionable activations — not just flashy dashboards. I get that the product wins when teams trust the data and can act on recommendations safely. The harder problem is governance, explainability, and seamless activation across many downstream systems — not just modeling. Solve that first and adoption follows. I recently led engineering for a multi-tenant ad-tech analytics platform where we built connectors, agentic data-prep flows, NLQ, lineage-driven governance, and activation connectors to DSPs and CRMs. My plan: deliver a concise PRD and secure multi-tenant architecture, implement SSO/SCIM, RBAC, usage metering and billing, and build ingestion + agent orchestration for cleaning, lineage, and approvals. Then iterate analytics (anomaly, forecasting, NLQ), recommendation/experiment modules, and activation APIs. I will sign your NDA and IP assignment. Which two capabilities do you want in the MVP to prove value fastest — journey analytics, media measurement, or automated experiments?
$2,250 USD in 7 days
4.8
4.8

Hello, I understand the importance of building a cutting-edge AI Agentic Analytics Platform that streamlines data governance, analysis, and activation for enterprise customers. Your vision for a multi-tenant SaaS platform equipped with AI agents, natural language querying, and automated experiment design is truly forward-thinking. To achieve this, I will focus on developing a secure multi-tenant SaaS architecture with robust tenant isolation and role-based access. Additionally, I will implement data connectivity services for structured and unstructured sources, creating AI agent workflows for data profiling and normalization. The governance and metadata layer will ensure data lineage and permissions are managed effectively. Furthermore, I will deliver advanced analytics capabilities for descriptive, diagnostic, predictive, and prescriptive analysis, along with customer journey analytics and cross-channel media measurement. The platform will also feature audience clustering, dashboard generation tools, and integration with activation workflows. With my expertise in Python, MySQL, AI Development, and Machine Learning, I am confident in my ability to bring your vision to life. I look forward to collaborating on this innovative project. Best regards, Jayabrata Bhaduri
$2,500 USD in 7 days
4.6
4.6

Sheb, United States
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