We are proud to be an official partner of Anthropic, the company behind Claude.
Model Hosting & Scaling
Multi-cloud and on-prem model serving, autoscaling, batching, quantization, and cost-optimized inference.
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Deliverables
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Outcomes
SLA
Production Ready
Multi-cloud and on-prem model serving at scale.
Multi-cloud and on-prem model serving, autoscaling, batching, quantization, and cost-optimized inference.
What you get
Multi-cloud and on-prem model serving at scale.
Model serving infrastructure
Autoscaling
Batching & quantization
Cost optimization
Problems we help you overcome
Inference latency spikes under load
Models cannot handle traffic bursts without manual intervention or over-provisioned infrastructure.
High GPU/compute costs
Unoptimized serving configurations waste compute resources on every inference request.
Single-cloud lock-in
Deployment is tied to one provider with no portability or failover strategy.
What we bring to the table
Autoscaling inference
Dynamic scaling based on queue depth, latency SLOs, and cost budgets.
Quantization & batching
INT8/FP16 quantization and dynamic batching to maximize throughput per GPU.
Multi-cloud serving
Portable serving stacks on Kubernetes with cloud-agnostic deployment patterns.
Industries We Serve
Healthcare & Life Sciences
Clinical NLP, coding automation, triage assistants (HIPAA-ready).
Financial Services
Fraud detection, automated underwriting, compliance monitoring.
Legal & Compliance
Contract review, e-discovery, regulatory tracking.
Retail & E-commerce
Personalization, search, conversational commerce.
Manufacturing & Industrial
Predictive maintenance, CV inspection, supply-chain optimization.
Telecom & Edge
Customer automation, low-latency on-device inference.
Cybersecurity
Threat detection, SOC automation.
Public Sector & Energy
Document automation, forecasting, citizen services.
Pricing & Engagements
Discovery & Assessment
Fixed-fee 1–2 week assessment with roadmap.
POC-to-Pilot
Fixed-scope 2–6 week POC, includes data prep, prototype model, and success criteria.
Production & Managed Services
Subscription for hosting, monitoring, retraining, and support (SLA options).
Professional Services
Time-and-materials or outcome-based pricing for custom work.
Measurable impact
Measurable business impact from this engagement.
Lower inference costs
Higher throughput
Reliable scaling
Frequently asked questions
What serving frameworks do you use?
Triton, vLLM, TorchServe, TensorFlow Serving, and custom FastAPI/gRPC endpoints depending on model type.
Can you reduce our current inference bill?
We typically find 25–50% savings through quantization, batching, model routing, and right-sizing infrastructure.
Do you support on-prem GPU clusters?
Yes. We deploy and optimize serving on NVIDIA DGX, bare-metal GPU servers, and private cloud environments.
Case Study
Problem
A regulated enterprise needed domain-accurate LLM responses without exposing sensitive data to public APIs.
Solution
LLM Customization & RAG, MLOps & ModelOps, Responsible AI & Governance
Outcome
40% reduction in human review time, 99.2% factual accuracy on domain tasks, and predictable inference costs within 90 days.
Ready to deploy with confidence?
Multi-cloud and on-prem model serving, autoscaling, batching, quantization, and cost-optimized inference.
More AI Services
Why Choose Us
- ✓ Industry focus + measurable outcomes: domain models with validated ROI metrics.
- ✓ POC-to-production playbook: repeatable 2–6 week POC that moves to production fast.
- ✓ SLA-backed production support: uptime, latency, and retraining SLAs.
- ✓ Compliance-first: HIPAA/GDPR/PCI-ready architectures and audited pipelines.