Harness the Power of Foundation Models
We integrate and fine-tune the world's most powerful AI models — OpenAI, Anthropic, Google Gemini — to build intelligent products that create real competitive advantage.
ChatGPT / GPT-4o Integration
Embed OpenAI's most powerful models into your product for chat, content generation, code, and complex reasoning.
- GPT-4o & GPT-4 Turbo
- Function calling & tools
- Streaming responses
- Fine-tuning
Claude (Anthropic) Integration
Leverage Claude for nuanced reasoning, long-context analysis (200K tokens), and safety-first AI applications.
- Claude 3.5 Sonnet / Opus
- Long document analysis
- Constitutional AI
- Tool use & agents
Google Gemini Integration
Multimodal AI with Gemini — process text, images, audio, and video natively in your business applications.
- Gemini 1.5 Pro / Flash
- Multimodal (text+image+video)
- Google Workspace integration
- Grounding with Google Search
RAG Systems
Retrieval-Augmented Generation — connect AI to your knowledge base for accurate, up-to-date, citation-backed answers.
- Vector embeddings
- Pinecone / Weaviate / Chroma
- Document ingestion pipelines
- Hybrid search (BM25 + semantic)
Custom LLM Fine-tuning
Fine-tune models on your proprietary data for domain-specific AI — customer service, legal, medical, or any vertical.
- OpenAI fine-tuning
- LoRA / QLoRA
- Private deployment
- Model evaluation & monitoring
LangChain / CrewAI / MCP
Build sophisticated multi-agent AI systems with the latest orchestration frameworks for complex, multi-step AI workflows.
- LangChain & LangGraph
- CrewAI multi-agent
- Model Context Protocol (MCP)
- AutoGen & AG2
What You Can Build with Generative AI
From intelligent chatbots to document intelligence — here are the 8 highest-impact GenAI products we build for businesses like yours.
AI Chatbots & Assistants
Intelligent support, sales and HR bots trained on your knowledge base — available 24/7.
Document Intelligence
Extract, classify and summarise contracts, invoices and PDFs at scale with near-perfect accuracy.
AI Content Generation
Product descriptions, blog posts, marketing copy and email sequences — generated 10× faster.
Semantic Search & RAG
Knowledge bases that retrieve precise answers from thousands of internal documents instantly.
AI Code Assistant
Code review, auto-completion, refactoring suggestions and test generation for engineering teams.
Image & Vision AI
DALL-E, Stable Diffusion and GPT-4o Vision for product imagery, defect detection and analysis.
Voice AI & Transcription
Whisper-based transcription, real-time voice agents and multilingual speech synthesis pipelines.
AI Data Analysis
Natural language queries over your databases, automated insight generation and predictive reports.
Generative AI Across Every Industry
We have delivered GenAI solutions across 10+ verticals. Every industry has its own data, regulations and vocabulary — we build AI that speaks your domain.
How RAG Powers Accurate AI Answers
Retrieval-Augmented Generation eliminates hallucinations by grounding every LLM response in your verified documents. Here's exactly how our pipeline works.
↔ Scroll horizontally on mobile | Each stage is fully customisable to your data source and security requirements
Measurable Impact, Not Just a Demo
These are not projections — they are real outcomes from GenAI systems we have shipped for clients across industries.
The AI Ecosystem We Master & Deploy
We stay ahead of the model curve — always building with the latest, most capable foundation models, orchestration layers and vector infrastructure.
From Idea to Production AI in 6 Weeks
A battle-tested, 5-stage GenAI delivery framework refined across 60+ projects — no wasted sprints, no prototype graveyards.
Discovery Workshop
We map your use case, data sources, user journey and success KPIs — so we build the right thing, not just a demo.
AI Architecture Design
Model selection, RAG vs fine-tune decision, embedding strategy, security boundaries and infrastructure plan.
Integration & Build
Sprint-based development with weekly demos. API integration, prompt engineering, evaluation harness and UI components.
Fine-tuning & Evals
RAGAS evaluation, hallucination benchmarks, A/B prompt testing and fine-tuning on your domain data for maximum accuracy.
Deploy, Monitor & Iterate
Production deployment with latency dashboards, cost tracking, drift detection and a continuous improvement feedback loop.
Enterprise-Grade Safety & AI Governance
Powerful AI means nothing if you can't trust it. Every GenAI system we build is governed by three non-negotiable pillars.
Data Privacy & Security
Your documents never leave your infrastructure. We implement PII redaction, encrypted vector pipelines, private cloud deployment and zero-retention API modes where required.
Bias Detection & Fairness
Every model goes through adversarial red-teaming, demographic fairness evaluation and RLHF-aligned output review before production — with human-in-the-loop checkpoints for high-stakes decisions.
Audit Trails & Governance
Full request/response logging, model version pinning, rollback capability, rate-limit controls, usage dashboards and compliance-ready reporting for SOC 2 and ISO 27001 environments.
Build Your AI-Powered Product
Free AI strategy session — we'll map the best approach for your use case.
Book AI Strategy SessionDidn't Find What You Were Looking For?
We're here to help you get the answers you need, quickly and clearly.
Generative AI (like ChatGPT, Claude, Gemini) can create content, answer questions from your documents, generate code, summarise reports, assist customers, and automate creative or analytical tasks. Practically, it means less manual work, faster decisions, and smarter products.
We work with OpenAI (GPT-4o, GPT-4), Anthropic (Claude 3.5 Sonnet, Haiku), Google (Gemini 1.5 Pro, Flash), Meta (Llama 3), and open-source models (Mistral, Phi-3). We recommend the best model for your specific use case and budget.
Yes. We do fine-tuning on OpenAI, Google, and open-source models. We also build RAG systems (Retrieval-Augmented Generation) which are often more cost-effective than fine-tuning for knowledge-based use cases.
RAG (Retrieval-Augmented Generation) connects an LLM to your own documents, databases, or knowledge base. Instead of training the model, you give it the ability to search your data at query time. Perfect for internal knowledge bots, document Q&A, customer support, and more.
We use grounding techniques (forcing the model to cite its sources), output validation layers, confidence thresholds, human review workflows for high-stakes decisions, and adversarial testing during QA. No system is 100% hallucination-free, but we engineer safeguards appropriate for the use case.
Yes, with the right architecture. We build compliant GenAI systems with data isolation, audit logs, human-in-the-loop reviews for critical decisions, and PII masking. We've built healthcare and fintech AI solutions that meet HIPAA, GDPR, and other regulatory standards.
Still have questions? Contact us directly →
Trusted by Teams Across the Globe
Real results from real clients — across AI, SaaS, e-commerce, and enterprise projects.
Before eLiquorWorks, our retail operations ran on spreadsheets and paper logs. Frequent Solutions built us a platform that brought real-time inventory, sales tracking, and purchase management all into one place. The accuracy and reliability have been outstanding from day one.
“Frequent Solutions delivered our AI voice calling agent on time and far exceeded expectations. The call quality is so natural our patients genuinely prefer it over speaking to staff. Their understanding of healthcare workflows was impressive — every detail was thought through.”
The AI WhatsApp lead agent they built transformed our sales pipeline overnight. We went from manually chasing cold leads every day to having an intelligent agent pre-qualify every enquiry automatically. The jump in quality leads within the first month was beyond what we imagined possible.