Model-agnostic LLM deployment — GPT-4o, Claude, Gemini — with zero downtime switching.
We integrate GPT-4o, Claude, Gemini, and open-source models into your production systems with a unified abstraction layer. Our architecture supports model switching without code changes, implements anti-hallucination guardrails via structured output enforcement, and includes confidence-scored routing to ensure the right model handles each task at the right cost.
Get a Custom ProposalWe identify every place in your product or workflow where LLM inference creates value — and quantify the cost.
Provider-agnostic routing built so GPT-4o, Claude, and Gemini are all callable with one interface.
JSON schema enforcement, confidence scoring, and fallback routing eliminate hallucination in production.
Smaller models routed for simple tasks. Cost per inference tracked. Typical saving: 30–50% vs single-provider.
Model-agnostic architecture — switch without re-engineering
Organisations that abstract their LLM layer reduce AI infrastructure costs by 30–50% and gain the flexibility to adopt next-generation models without rebuilding.
Anti-hallucination via JSON schema enforcement
Confidence scoring and fallback routing
Cost optimisation across provider APIs
Production Stack
Custom
Scoped by model count, inference volume, and guardrail complexity
Integrating one model into one workflow differs from building a multi-provider routing layer with cost optimisation across GPT-4o, Claude, and Gemini. Scoped after technical review.
Get a Custom ProposalWhy model-agnostic architecture
GPT-4, Claude 3, and Gemini 1.5 all launched within 18 months. Companies locked to one provider rebuilt at full cost each time. A provider-agnostic abstraction layer means you adopt the next generation in a config change, not a re-engineering project.
Straight answers. No jargon. No stalling.
We are a software and AI engineering company first. Every service we provide is backed by production-grade technology — RAG systems, LangGraph agents, and custom automation pipelines. Traditional agencies send reports. We build systems that operate autonomously and generate measurable outcomes.
Yes. We work with clients across India, the US, UK, UAE, and Southeast Asia. All project delivery is fully remote and asynchronous-first. For AI and development services, timezone is irrelevant — we deliver through Git, Notion, and async video. For clients requiring real-time collaboration, we accommodate overlap hours.
RAG and WhatsApp AI: live within 7 days of document collection. Workflow automation: deployed within 14 days. Website development: live in 7–14 days. Paid ads: first leads within 14 days. SEO: ranking improvements visible at 60–120 days. AI systems produce measurable impact from day one.
You provide your business documents — PDFs, Word files, spreadsheets containing your pricing, services, FAQs, and policies. We process them into a vector database, build an AI agent with your brand voice and rules, and deploy it on your website and WhatsApp. It answers customer questions from your data only — never hallucinating or inventing information.
Yes. Our technical development capability covers full-stack web applications, SaaS dashboards, internal tools, and API systems using Next.js 14, FastAPI, TypeScript, and MongoDB. We have delivered production-grade SaaS products, B2B marketplaces, and custom operational tools for clients across multiple industries.
The AI handles all inbound messages on the business WhatsApp number. When a conversation requires human involvement — a complaint, a complex negotiation, or a VIP client — the AI flags it and your staff can take over seamlessly. The bot handles the volume; your team handles the exceptions.
Yes. We build API integrations with HubSpot, Salesforce, Zoho, Monday.com, Google Sheets, Airtable, and most major platforms. If your CRM has an API, we can connect your AI systems to it. Custom integrations are scoped as part of each project.
Yes. An NDA is available and signed before any client materials, access credentials, or proprietary information is shared. Client data is never used to train models, and all AI systems run on client-isolated infrastructure.
Engineers who deploy in days, not quarters. Every system measured from the first request — accuracy rates, response times, and business impact you can show your board.
Free 30-minute technical call · No obligation · India & Worldwide