You will get an AI driven output which can create impact
Project details
This Generative AI project is designed and delivered with a strong product mindset, not just as “another AI integration gig.” Unlike generic implementations, the focus is on understanding your domain, data, and workflows first, then crafting a compact, production‑ready GenAI system that your team can actually use and maintain. Each tier—MVP chatbot, workflow‑driven app, and full agentic system—is built with real usage in mind: clear scopes, measurable outcomes, and maintainable code.
What sets this apart is the combination of hands‑on AI systems experience (multi‑agent, RAG, LLM orchestration) and full‑stack SaaS execution: architecture, infra, security, and UX come together as one coherent solution. You are not just getting prompts wired into an API; you’re getting data modeling, error handling, observability, and MLOps baked in at the right level for your tier. The process is transparent and collaborative—short sprints, frequent demos, and clear documentation—so you always know what is built, why it matters, and how it moves you closer to your business goals.
What sets this apart is the combination of hands‑on AI systems experience (multi‑agent, RAG, LLM orchestration) and full‑stack SaaS execution: architecture, infra, security, and UX come together as one coherent solution. You are not just getting prompts wired into an API; you’re getting data modeling, error handling, observability, and MLOps baked in at the right level for your tier. The process is transparent and collaborative—short sprints, frequent demos, and clear documentation—so you always know what is built, why it matters, and how it moves you closer to your business goals.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Code, AI-Generated Video, AIOps, Facial Recognition, Image-to-Image Translation, Natural Language Generation, Neural Machine Translation, Sentiment Analysis, Speech SynthesisAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 10 days | 30 days | 60 days |
Number of Revisions | 3 | 5 | 7 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $1,000
Additional Revision
+$50About Sourceoftruth
Source Of Truth Labs: AI-first SaaS that powers reliable decisions
Hyderabad, India - 1:41 pm local time
Who we are
Source Of Truth Labs positions itself as a “single source of truth” partner for modern SaaS and digital businesses, focusing on data-driven architectures, security, and performance. The core mission is to turn complex business processes into simple, intelligent products that teams can trust for everyday decision-making.
AI-enabled web and product development
SOTLABS designs and delivers full-stack web applications and SaaS products with AI embedded at their core, using capabilities such as machine learning, natural language processing, and predictive analytics. These AI layers enable features like intelligent recommendations, automated workflows, chatbots, and real-time insights that improve user experience and business outcomes. The development approach follows a product mindset end-to-end—discovery, prototyping, model development, and iterative shipping—so that each release is informed by data and user behavior.
Mobile apps with intelligent experiences
On mobile, SOTLABS builds native and cross-platform apps that are tightly integrated with backend AI services, enabling personalized feeds, on-device inference where appropriate, and seamless sync with web products. Event data from iOS, Android, and backend services is unified into a single analytics layer, providing a complete view of the user journey and allowing continuous optimization of in-app experiences.
NFT, crypto, and blockchain development
SOTLABS also delivers blockchain-based solutions including NFT marketplaces, tokenized loyalty programs, and smart-contract-driven business logic. The practice covers areas such as custom smart contract development, crypto payment integration, and secure wallet or custody flows. These solutions are designed to integrate with existing web and mobile products so businesses can add Web3 capabilities—ownership, transparency, and programmable incentives—without compromising usability.
Business domains we cover
Drawing from patterns seen in modern AI product and SaaS consultancies, SOTLABS is equipped to work across multiple verticals:
- SaaS & B2B platforms – Multi-tenant SaaS, dashboards, subscription billing, and admin tooling.
- E-commerce & D2C – AI-driven product recommendations, dynamic pricing, and personalized storefronts.
- Fintech & crypto – Ledger systems, KYC/AML flows, analytics, and blockchain integrations for payments or digital assets.
- Healthcare and public sector – Workflow automation, secure data handling, and predictive analytics for service delivery.
- Marketing, content, and analytics – Single-source-of-truth data platforms, embedded analytics, and AI content engines that centralize events and metrics across channels.
Across all these domains, the unifying theme is building a robust “source of truth” for data and layering AI and automation on top of it to unlock speed, accuracy, and better decisions.
Steps for completing your project
After purchasing the project, send requirements so Sourceoftruth can start the project.
Delivery time starts when Sourceoftruth receives requirements from you.
Sourceoftruth works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and goal alignment
Clarify the problem, target users, and business goals before writing any code. Define what success looks like in terms of concrete outcomes (e.g., increased leads, reduced manual work).
Requirements and solution design
Translate goals into a prioritized feature list, user flows, and a simple system architecture. Agree on what is in the first release (MVP) versus later phases to avoid scope creep.