10+
Private LLM Deployments
🔓Open-Source AI
OpenClaw / ClawdBot Development
Your compliance team says data can't leave your infrastructure. We deploy Claude-quality AI reasoning on your own servers using OpenClaw — open-source, self-hosted, and fully under your control. From on-prem GPU clusters to private cloud VPCs, we handle the infrastructure so you get AI capabilities without the data sovereignty headache.
We build hybrid architectures — self-hosted models for sensitive data processing, Claude API for general tasks. You get compliance where you need it and frontier model quality where you can use it.
- Data never leaves your infrastructure — period
- Cost breakeven at ~50K requests/day vs API pricing
- Swap between self-hosted and Claude API without code changes
Share your scope and get a tailored estimate in 48 hours.
Proposal in 48 hours
NDA-ready engagement
Zero data leakage track record
Zero
Data Leakage Incidents
40%
Cost Savings at Scale
On-Prem
+ Cloud Deployment
The Problem
Where Teams Get Stuck Without OpenClaw Expertise
These are the real blockers we hear from CTOs and engineering leads before they reach out.
Your legal team blocked the AI project because customer data would leave your infrastructure. The product team is frustrated, and the competitor who doesn't care about compliance is shipping faster.
You evaluated self-hosting options — vLLM, TGI, Ollama — but the infrastructure complexity is beyond your DevOps team's current expertise. GPU provisioning, model serving, and scaling are unsolved problems.
You're paying ₹5-10 lakhs/month in Claude API costs and the finance team is asking when this will break even. At your volume, self-hosting would be cheaper, but you don't have the team to build it.
RBI data localization rules, DPDP Act, or HIPAA compliance means you need AI that runs on Indian infrastructure. But open-source models feel like a quality downgrade from Claude.
The Outcome
Results You Can Present to Stakeholders
What changes after we ship — measurable outcomes, not marketing promises.
Claude-compatible AI running inside your VPC — same API interface, zero data leaving your infrastructure. Compliance team signs off because there's nothing to sign off on.
Hybrid routing that automatically sends sensitive data through self-hosted models and general queries through Claude API — your app code doesn't change, only the routing logic.
40-60% lower AI costs at 50K+ daily requests compared to pure API usage, with infrastructure that auto-scales based on demand.
Compliance documentation ready for RBI, SEBI, DPDP Act, and HIPAA audits — because the architecture itself is the compliance proof.
What We Build
Business Use Cases for OpenClaw
Production systems we've shipped — not hypothetical demos or POCs that never go live.
01
Private Enterprise AI
Deploy AI inside your VPC for processing financial records, patient data, legal documents, and customer PII that compliance won't let you send to third-party APIs.
02
Compliance-First Deployments
RBI data localization, HIPAA, DPDP Act, SEBI — deploy AI infrastructure that passes compliance audits because data literally never leaves your jurisdiction.
03
Hybrid Cloud / On-Prem
Route sensitive data through self-hosted models and general queries through Claude API. Same application code, automatic routing based on data classification.
04
Cost-Optimized AI at Scale
At 50K+ daily requests, self-hosting saves 40-60% vs API pricing. We handle GPU sizing, model serving, and auto-scaling so you get API-grade reliability at infrastructure-grade economics.
Scope of Work
What We Deliver
Concrete outputs from each engagement — architecture docs, working code, deployed infrastructure.
Infrastructure Design
GPU sizing, network architecture, security posture review, cost modeling, and compliance documentation.
Model Deployment
OpenClaw setup, model serving with vLLM/TGI, API layer, authentication, rate limiting, and health checks.
Integration Layer
Claude-compatible API endpoints, hybrid routing logic, existing tool connections, and data pipelines.
Monitoring & Ops
Performance dashboards, alerting, model update automation, scaling policies, and incident runbooks.
Why Us
Why Teams Choose Cartoon Mango for OpenClaw
10+ Private LLM Deployments
We've deployed self-hosted AI on AWS Mumbai, GCP India, Azure Central India, and on-premises GPU clusters. Your infrastructure constraints aren't new to us.
Hybrid Architecture Design
Not everything needs self-hosting. We design routing that sends sensitive data to private models and general tasks to Claude API — maximizing quality while maintaining compliance.
GPU Infrastructure Expertise
A100, H100, RTX 4090 — we size GPU infrastructure based on your throughput needs, not vendor upselling. We model costs before you commit to hardware.
Compliance-First Approach
We document architecture for compliance audits. RBI data localization, DPDP Act, HIPAA — the deployment topology is the compliance proof.
Our Process
How We Execute
Sprint-based delivery with weekly demos — no disappearing for 3 months.
1
Assessment
Evaluate compliance requirements, data classification, expected throughput, and infrastructure constraints.
2
Architecture
Design deployment topology — GPU selection, networking, security, hybrid routing, and failover strategy.
3
Deploy
Set up model serving, API layer, monitoring, and integration with your existing application stack.
4
Operate
Ongoing model updates, performance tuning, cost optimization, and scaling as usage grows.
Explore More
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Need a delivery-ready architecture for OpenClaw?
Share your scope and constraints. We'll propose a practical architecture, timeline, and sprint plan your team can execute with confidence.
Common Questions
FAQs About OpenClaw Development
Real answers to what buyers actually search before hiring a OpenClaw team.
Your application sends all requests to a routing layer we build. The router classifies each request based on data sensitivity rules you define — PII, financial data, or health records go to the self-hosted model; general queries go to Claude API for best quality. Same response format, automatic routing, zero application code changes.
