Agentic AI That
Works in Production
Not Just in Demos
We design, build, and operate enterprise Agentic AI systems — from strategy and custom agent development to private AI Labs and 24×7 managed operations. Open-source. India-first. Zero vendor lock-in.
End-to-End Agentic AI Services
From strategy to deployment to managed operations — one partner for your entire AI journey.
Why Enterprises Choose Swaran Soft
Open-Source First
We default to open-source AI tools — N8N, LangChain, Mistral, Llama 3. Zero vendor lock-in. 60–80% lower TCO than proprietary platforms.
Data Sovereignty
All AI processing within your infrastructure by default. No data leaves your environment. On-premise, VPC, and hybrid cloud deployment options.
India-First Design
Built for India's regulatory environment (DPDP Act, RBI, SEBI) with 9+ Indian language support and India-specific use-case libraries.
End-to-End Ownership
We own the outcome, not just the delivery. From strategy to deployment to managed operations — one partner, full accountability.
Your AI Journey with Swaran Soft
A structured path from first conversation to enterprise-scale AI operations.
Discover
Free 30-min consultation to understand your goals and identify the highest-ROI AI opportunity.
Strategize
AI Readiness Assessment + Use-Case Prioritization + 90-day Roadmap with ROI projections.
Deploy
Build and deploy your first AI agent or AI Lab — production-ready, not a proof of concept.
Scale & Operate
Expand to more use cases with managed operations, continuous optimization, and SLA-backed uptime.
What Our Clients Say
"Swaran Soft's Agentic AI implementation reduced our HR query resolution time from 2 days to under 4 minutes. The WhatsApp-based HR agent handles 70% of queries autonomously."
"The AI strategy roadmap gave our board the confidence to approve a ₹2 Crore AI investment. The ROI model was detailed, credible, and proved out within 8 months."
Frequently Asked Questions
Free Agentic AI Guide
Download our complete guide — includes the AI readiness framework, use-case library, ROI benchmarks, and tech stack recommendations used by 500+ enterprise leaders.
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Ready to Start Your AI Journey?
Book a free 30-minute consultation with our AI architects. We'll identify your highest-ROI AI opportunity and give you a clear path forward.
AI Models We Work With
We select the right model for each enterprise use case — Indian sovereign models for data compliance, global LLMs for complex reasoning, and on-premise deployments for zero data leakage.
Indian Sovereign Models
DPDP / RBI CompliantBest-in-class Indic NLP: Hindi, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, Punjabi, Malayalam. Enterprise API + voice models.
Multimodal foundation model for 22 Indian languages. Government-backed. Ideal for public sector and regulated enterprise deployments.
Hindi-first LLM optimised for conversational Indian English and Hindi code-switching. Strong for consumer-facing applications.
Multilingual Indian LLM supporting 9 Indian languages. BFSI-adjacent use cases. On-premise deployable.
Open-source Hindi LLM (Mistral-based fine-tune). Deployable via Ollama for on-premise Hindi NLP without API dependency.
Instruction-tuned Indic LLM for research and government use. Reference for government and education sector context.
Global LLMs
Best-in-Class ReasoningComplex reasoning, long-context documents, safe enterprise orchestration. Preferred for agent planning layers.
Broad enterprise tasks, code generation, function calling, tool use. Strong ecosystem of enterprise integrations.
Google Workspace integration, multimodal tasks (text + image + code), long context. Strong for Google Cloud enterprises.
On-premise via Ollama for data sovereignty, cost-efficient inference at scale, European data regulation compliance.
On-premise self-hosted deployments, fine-tuning for domain-specific tasks, zero API cost at scale once deployed.
Multilingual tasks (Chinese + Indian language support), long context, cost-efficient API. Good for APAC operations.
Reasoning-heavy tasks, on-premise deployment, open-source cost advantage. Use with caution for sensitive data.
Ultra-low latency inference for real-time voice and interactive AI. Sub-200ms response time for live call AI.
Model Selection Decision Guide
Match your priority to the right model and deployment mode
| If your priority is... | Recommended Model | Deployment Mode |
|---|---|---|
| Indian language accuracy (Hindi / Tamil / Telugu etc.) | Sarvam AI (Sarvam-2B) + Hanooman | Cloud API or on-premise |
| Government / public sector data sovereignty | BharatGen + Sarvam AI | On-premise mandatory |
| RBI / DPDP compliance for BFSI or healthcare | Mistral 7B or LLaMA 3 via Ollama | On-premise only — zero data leaves India |
| Complex multi-step reasoning (planning, summarisation) | Claude Sonnet / GPT-4o | Cloud API (data classification required) |
| Real-time voice AI for contact centres | Whisper STT + Sarvam TTS + Groq inference | On-premise STT + cloud TTS options |
| Cost-efficient inference at 100K+ daily interactions | LLaMA 3 70B via Ollama on-premise | On-premise — eliminates per-token API cost |
| Maximum language breadth (22+ languages incl. Indian) | BharatGen + Claude multimodal | Hybrid: BharatGen on-premise, Claude API |
| Fastest time-to-deploy (prototype in days) | OpenAI GPT-4o API + N8N workflow | Cloud API — fastest setup, easy to replace later |
On-Premise AI Stack
Zero Data LeakageRuns Mistral 7B, LLaMA 3, Qwen 2.5, OpenHathi on enterprise server hardware — no API calls, no external data transmission
500+ integrations, dynamic LLM routing, drag-and-drop workflow builder — all running inside enterprise VPC
Real-time Postgres DB, RBAC, smart ticketing, audit trail — fully on-premise deployment option
OpenAI Whisper deployed on-premise — speech-to-text for Indian languages without sending audio to cloud
On-premise vector database for RAG — document knowledge base stays inside enterprise
Full containerised deployment on VPC, hybrid cloud, or on-premise data centre — portable and cloud-agnostic