Generative AI scoped to what it is reliably good at. Chatbots that answer correctly, and workflows where the model removes the tedious step, and deliver personalized user experiences with precision and scalability.
Why NizSol
AI search that cites your knowledge base instead of guessing (RAG).
Open-source models (Llama, Mistral) tuned on your company's content.
Automations that read data, draft reports, and trigger actions in your tools.
Personal data is masked before anything reaches an external AI service.
Vector databases (Pinecone, pgvector) for text and image search.
Browse our case studies to uncover the challenges we've faced, the strategies we've built, and the measurable outcomes we've achieved. These stories reflect our passion for impactful design.
Each package is quoted after a free 30-minute call, so you only pay for the scope you need. Timelines are typical ranges.
Businesses looking for a clear, fixed-scope roadmap before writing code.
Teams needing to query shared knowledge bases safely with safety controls.
Automating complex business operations using autonomous agents.
Not sure which fits?Book a free 30-min call
How we design, build, and deploy custom Generative AI solutions tailored to your business operations.
We select the appropriate API or open-source foundation model and map out vector database options.
We parse internal files, generate embeddings, and structure vector indices for fast semantic queries.
We build custom interfaces, create RAG pipeline logic, and connect system data handlers.
We implement PII data masking libraries and test systems against prompt injection attempts.
We hook chatbot endpoints into Slack, Salesforce, or your proprietary customer service portals.
We trace conversational cache rates, audit monthly token spend, and refine LLM temperatures.
Generative AI Capabilities
We can build unified dashboards to monitor your autonomous AI agents, manage vector database uploads, and analyze conversational metrics.
Inspect vector database query scores and review source document relevance easily.
Strip sensitive credentials and private data automatically before queries reach LLM APIs.
Monitor prompt tokens, API call latencies, and chatbot performance metrics in one view.
We build on AI frameworks that have proven stable in production. From OpenAI and LangChain to Hugging Face and FastAPI, our stack powers custom chatbots, content generation, and AI-driven automation.
OpenAI
LangChain
Hugging Face
Docker
FastAPI
n8n
AI-powered content generation for blogs, social media, ad copy, and product descriptions. Generate high-quality, on-brand content at scale, reducing time-to-publish and creative overhead.
Conversational AI and chatbots that handle customer queries, provide structured responses, and escalate to humans when needed, available 24/7 across all channels.
AI-assisted code generation, documentation, and code review tools that accelerate development cycles and reduce bugs.
Generate synthetic datasets for training, testing, and augmentation so ML models perform better with less real-world data collection.
Dynamic, AI-driven personalization engines that tailor content, product recommendations, and user journeys based on individual behavior and preferences.
Generative AI for image, video, and design asset creation. Automate creative workflows, produce variations at scale, and accelerate time-to-market for creative campaigns.
Enterprise Web Platform · 8 months
“Cognix feels like having a senior engineer constantly looking over your shoulder. It catches the silly mistakes instantly so our actual code reviews can focus on architecture.”
Elijah ChenCTO, FinTech Startup · Cognix SystemsCase study: Cognix Systems
Book a free 30-minute discovery call. We will diagnose your bottlenecks, scope the right approach, and give you an actionable roadmap.
Book a free call30 min · Actionable roadmap · No pressure
We are passionate about fintech, digital transformation, and tech innovations, and love sharing our insights. Read our recent blog articles.
