DEPLOY•CUSTOMIZE•SECURE•OPTIMIZE

AI Infrastructure & Research for the Next Generation of Enterprise AI

IN2PETA helps startups and enterprises build and operate secure, high-performance AI systems—from custom model inference and fine-tuning to private AI gateways and next-generation inference optimization research.

< VALUE PROPOSITION >

Build AI for Your Business. Keep It Private. Make It Faster.

Enterprise AI shouldn't require sending sensitive data to third-party platforms or accepting inefficient, one-size-fits-all solutions. IN2PETA works with organizations to customize AI models, deploy them within their own infrastructure, secure every request, and optimize inference performance—while continuously researching new techniques to make AI faster and more efficient.

Latency Saved
85%
Compared to APIs
Throughput
10k+
Queries / Second
Private Accuracy
99%
Private Governance

Private VPC Deployment

Workloads deployed directly inside your own secure virtual private cloud (VPC) or on-premises servers.

Custom Inference

Tailored model serving pipelines built from scratch to achieve maximum throughput and minimum response latency.

AI Security Gateway

Centralized proxy routing with in-house PII/PHI detection models to secure every inbound and outbound request.

Optimization Research

Dedicated focus on attention mechanisms, KV-cache, and quantization research to optimize inference performance.

What We Do

EnterpriseAIDeployment&Research

We bridge the gap between cutting-edge AI research and secure, production-grade enterprise deployments.

01 — INFERENCE

Custom AI Inference Deployment

Run AI workloads where your business needs them.

We design and deploy custom inference workloads for enterprises and startups, optimized for their models, infrastructure, traffic, latency, and cost requirements. From open-source LLMs to specialized AI models, we help organizations move from experimentation to production-grade inference.

What we help with:
  • Custom model deployment
  • GPU inference infrastructure
  • High-throughput serving
  • Low-latency inference
  • Model serving optimization
  • Auto-scaling & deployment
  • Cost & performance optimization
Infrastructure TierProduction GPU / Multi-Node
02 — FINE-TUNING

Enterprise Fine-Tuning & Private Model Deployment

Turn your enterprise data into specialized AI.

Generic models don't always understand your business, domain, workflows, or terminology. We fine-tune open-source and foundation models for specific enterprise use cases while keeping sensitive data within controlled environments.

We can also deploy the resulting models directly into your own cloud or on-premises infrastructure, giving your organization greater control over data, models, and AI workloads.

Data → Specialized Model → Private Deployment
Deployment ScopeOn-Prem / Private VPC
03 — SECURITY

Custom AI Gateway & Enterprise AI Security

Your AI gateway. Your infrastructure. Your control.

We build custom AI gateways that sit between your applications and AI models, providing a centralized layer for routing, security, governance, monitoring, and observability. Our solutions can incorporate in-house PII/PHI detection and protection models, allowing sensitive information to be identified and controlled before it reaches an AI model.

Capabilities can include:
PII & PHI detection
AI security guardrails
Model routing
Usage monitoring
Observability & audits
Access control
Policy enforcement
Cost & usage analytics
Enterprise governance
Compliance LevelSecure Guardrails Enabled
04 — RESEARCH & IP

AI Research & Intellectual Property

We don't just deploy AI. We research what comes next.

IN2PETA has a dedicated research focus on LLM training, inference optimization, and next-generation model architectures. We research techniques that reduce training time, inference latency, memory consumption, and computational cost, while improving model efficiency.

Our research areas include:
LLM inference optimizationTraining efficiencyModel architecturesAttention optimizationKV-cache optimizationQuantizationModel compressionEfficient servingGPU & kernel optimizationNext-gen LLM architectures

Our long-term goal is to develop proprietary technologies and intellectual property that make AI models significantly more efficient to train and deploy.

FocusProprietary IP Development
AI Development Framework
Active PhaseSelect a development phase
Awaiting Input
Development Lifecycle

From AI Research to Enterprise Production

We bring together AI research, model engineering, infrastructure, security, and deployment under one platform. Research → Build → Fine-Tune → Secure → Deploy → Optimize.

Optimization & Architecture Research
  • Research novel attention & model architecture designs
  • Investigate training and KV-cache optimization opportunities
  • Explore model compression & kernel-level enhancements
Stage StatusReady
Inference Pipeline Construction
  • Build custom high-throughput model serving pipelines
  • Design custom inference workload orchestration layers
  • Configure multi-node GPU cluster architecture
Stage StatusReady
Specialized Model Customization
  • Audit and prepare domain-specific training datasets
  • Conduct SFT, LoRA, and DPO alignment training
  • Customize foundation models to enterprise business logic
Stage StatusReady
Governance & Data Protection
  • Integrate in-house PII/PHI detection and masking models
  • Enforce role-based access control and usage policies
  • Configure audit logging, usage monitoring, and compliance logs
Stage StatusReady
Secure Production Rollout
  • Deploy custom workloads into private cloud VPC or on-prem
  • Set up autoscale thresholds and model serving redundancy
  • Configure central API routing and failover mechanics
Stage StatusReady
Throughput & Efficiency Profiling
  • Profile kernel execution and memory footprint
  • Apply AWQ/GPTQ quantization and model compression
  • Continuously update serving infrastructure to reduce GPU cost
Stage StatusReady

Case Studies

AISystemsDeliveringMeasurableBusinessOutcomes

From enterprise healthcare and intelligent automation to AI‑powered operations and connected ecosystems, we build AI systems designed for measurable impact at scale.

AI Inference InfrastructureFeatured Case Study

Plunge

Deploying low-latency model inference for a real-time smart IoT wellness platform.

Custom InferenceGPU InfrastructureLatency TuningHigh-Throughput Serving
100%Inference Uptime
Model Fine-Tuning & Custom RAGFeatured Case Study

JLL

AI-driven property discovery and real estate insights using customized foundation models.

Model Fine-TuningSFT AlignmentDomain CustomizationPropTech RAG Database
30%Inference Speedup
20%Memory Reduced
30%Lower Compute Cost
Private AI Gateway & ComplianceFeatured Case Study

AXA

Secure, high-throughput enterprise AI gateway routing with built-in PII protection at a global scale.

AI GatewayPII/PHI DetectionPolicy EnforcementAuditable Governance
99.99%Gateway Availability

Capabilities Matrix

ExploreOurFullRangeofCapabilities

As requirements change or expand, engagement often extends into complementary technology capabilities. Our work reflects this by supporting multiple initiatives across several technology areas—helping organizations modernize, scale, and accelerate delivery with confidence.

AI Infrastructure & Compute

GPU orchestration and low-latency model serving.

11 Capabilities
GPU Orchestration & SlurmInfiniBand NetworkingvLLM serving engineTensorRT-LLMTriton Inference ServerMulti-node scalingKubernetes for ML workloadsCustom Triton KernelsLow-latency schedulingGPU utilization auditingInfiniBand Fabric Tuning
DEPARTMENT SECUREDActive

Model Customization & Tuning

Proprietary tuning and model alignment.

8 Capabilities
Supervised Fine-Tuning (SFT)RLHF & DPO alignmentLoRA & QLoRA adaptationDeepSpeed & FSDP trainingDataset Curation & FilteringParameter-efficient tuningTokenizer optimizationDomain-specific tuning
DEPARTMENT SECUREDActive

AI Security & Gateway

Centralized routing, security, and governance.

8 Capabilities
PII & PHI detection modelsLlama Guard integrationToken rate limitingAudit logging & observabilitySecure key managementModel failover routingAccess control & policiesAnonymization filters
DEPARTMENT SECUREDActive

Optimization Research

Kernel optimization and model efficiency.

7 Capabilities
KV-cache optimizationFlashAttention kernelsQuantization (AWQ, GPTQ)Model distillation & compressionSpeculative decodingMemory footprint reductionKernel-level profiling
DEPARTMENT SECUREDActive

Security & Governance

Enterprise-GradeSecurity&AuditableAutonomy

We engineer agentic AI solutions that operate within strict governance boundaries, satisfying the most rigorous security and compliance parameters of global boards, auditors, and regulators.

Enterprise Security

HIGH SECURITY STANDARDS.

Governance, data handling, and bias controls—built for strict requirements and secure operations.

AI YOU CAN TRUST
Background‑checked engineers across all delivery centers
Incident response SLA with documented escalation paths
Standard NDA and IP assignment across all engagements
Annual third‑party penetration testing of internal systems
Data residency options across US, EU, and India
Role‑based access with least‑privilege enforcement

Security by Design

  • Threat modeling & risk assessment
  • Secure architecture & code reviews
  • Data encryption in transit & at rest
  • Secure SDLC & DevSecOps pipelines
  • Vulnerability scanning & pen testing
SECURITY SCOPEAudited

Data Protection & Privacy

  • Data classification & minimization
  • Role‑based access control (RBAC)
  • PII protection & data masking
  • Secure data storage & backup
  • Privacy by design principles
SECURITY SCOPEAudited

Compliance Standards

  • SOC 2 Type II Readiness
  • ISO 27001:2022 Readiness
  • GDPR & CCPA Compliant
  • HIPAA Compliant workloads
  • COPPA Compliant services
SECURITY SCOPEAudited

Governance & Assurance

  • Security policies & governance
  • Regular risk & compliance audits
  • Incident response & disaster recovery
  • Vendor & third‑party risk management
  • Continuous monitoring & improvement
SECURITY SCOPEAudited

Insights & Ecosystem

AgenticAIInsights&Ecosystem

The partnerships, frameworks, and operational thinking behind every Agentic AI solution & system we ship.

Services PartnerTier 1 Ecosystem

OpenAI Services Partner

Enterprise AI systems built using modern LLM frameworks, orchestration layers, and scalable AI infrastructure. We integrate directly with OpenAI APIs and compute systems to deliver high-availability, low-latency, and highly secure deployments.

Focus 01OpenAI Ecosystem
Focus 02LLM Engineering
Focus 03AI Infrastructure
in2peta Integration Hub
OpenAI GPT-4olatency: 24ms
Anthropic Claudelatency: 38ms
Active Orchestratornodes: 12 active
Research
THE ENTERPRISE GUIDE TO AI INFRASTRUCTURE

in2peta Research

PDF format

High-Performance AI Serving & Inference

Download our 42-page technical guide exploring private model deployment, GPU cluster orchestration, custom gateways, and kernel-level latency optimization for mission-critical enterprise workloads.

Resource GuideWhitepaper

The Enterprise Guide to AI Infrastructure

Practical frameworks, serving patterns, security gateway governance, and deployment strategies for building production-ready private AI systems. Designed for technical product leaders, infrastructure engineers, and enterprise architects.

Topic 01Private GPU Clusters
Topic 02Fine-Tuning & SFT
Topic 03Inference Optimization
ModelsInfrastructure

Production-Grade Tech Stack

We select and integrate best-in-class models, orchestration frameworks, knowledge layers, and secure infrastructure with production performance in mind.

oa
OpenAI

Model

cl
Claude

Model

ge
Gemini

Model

lc
LangChain

Framework

cr
CrewAI

Agentic

lg
LangGraph

Orchestrator

pc
Pinecone

Vector DB

pg
Postgres

Database

nx
Next.js

Web

fa
FastAPI

API Layer

FAQ

FrequentlyAskedQuestions

Find answers to common questions about our AI infrastructure, private deployments, security gateways, and optimization research.

Still have questions?

Need clarity before moving forward? Speak with our operations team and get direct answers tailored to your business challenges.

Book a consultation
IN2PETA is dedicated to AI Infrastructure & Research. We help startups and enterprises deploy, customize, secure, and optimize high-performance AI systems—ranging from custom model inference and fine-tuning to private AI gateways and next-generation inference optimization research.
Deploying models within your own private cloud or on-premises infrastructure ensures complete control over sensitive data, eliminates third-party dependency, enhances security, enables deep customization, and significantly reduces long-term inference costs and latency.
A custom AI gateway acts as a secure, centralized proxy between your applications and AI models. It handles model routing, rate limiting, and observability while running in-house PII/PHI detection and protection models to filter sensitive information before it reaches the AI models.
Our dedicated research team focuses on KV-cache optimization, attention mechanism designs, quantization (such as AWQ and GPTQ), model compression, and GPU kernel-level optimizations to dramatically reduce inference latency and memory footprints.
Yes. We specialize in SFT (Supervised Fine-Tuning) and alignment (DPO, RLHF) of open-source models on your domain-specific workflows and terminology. The resulting custom model is deployed privately, ensuring zero exposure of your data.

Build Your AI Infrastructure With IN2PETA

Have an AI workload, model, or enterprise use case? Let's explore how we can deploy it, customize it, secure it, and make it faster.