Key Metrics
10
Platform Layers
Full
AI/ML Workflow
Cloud Native
Edge · DevSecOps
Agentic
AI Ready
Multi-Cloud
Infrastructure
Platform Principles
Vendor-Agnostic by Design
Any model, any cloud, any tool. Your platform is never locked to a single provider.
Layered Architecture
Each concern is isolated and composable. Swap one layer without rebuilding the rest.
Security by Design
DevSecOps embedded at every layer, not added as an afterthought.
Observability First
Every layer instrumented from day one. You cannot operate what you cannot see.
Production-Grade
Designed for scale and reliability, not just proof of concept.
Modular & Composable
Start with what you need. Grow the platform as your use cases evolve.
What we design & operate
Platform Architecture
Design and integrate a full AI/ML platform infrastructure tailored to your ecosystem
Agentic AI Workflows
Support end-to-end agentic AI workflows, from data preparation to autonomous agents in production
Model Routing
Unify multi-provider model access with intelligent routing, fallback, and cost control
RAG & Knowledge
Build modern RAG pipelines with hybrid search, reranking, and knowledge graph retrieval
AI Security
Enforce DevSecOps guardrails, HITL approval gates, and immutable audit trails
Observability
Instrument the full stack with distributed tracing, evals, and continuous quality monitoring
K8s Orchestration
Orchestrate AI workloads on Cloud Native Kubernetes with GPU scheduling and autoscaling
Infrastructure
Provision multi-cloud and edge infrastructure declaratively with IaC and GitOps
End-to-end flow
Data
Ingestion
Retrieval
Orchestration
Models
Gateway
APIs
Users
Stack
L10
Conversational Interfaces
Your users talk to AI directly, through chat, voice, or embedded copilots built right into your product.
Open WebUI
LibreChat
AnythingLLM
CCopilots
Enterprise AI Portals
Give your teams an AI they can actually use, with smarter internal search, workflow bots, and knowledge assistants that work the way your people do.
Open WebUI
LibreChat
AnythingLLM
SSmart search
AI API Products
Wrap your AI capabilities into clean, versioned APIs that other teams and systems can consume without worrying about what's underneath.
RREST APIs
GGraphQL
SSDKs
Human-in-the-Loop Consoles
Keep humans in the loop where it matters, with review queues and audit trails so your team stays in control of consequential AI decisions.
LangGraph
AApproval queues
AAudit UIs
L9
Stateful Agent Workflows
Build agents that remember where they left off, pause when they need a human decision, and pick up exactly where they stopped.
LangGraph
TTemporal
Multi-Agent Systems
When one agent isn't enough, coordinate a crew where each one is specialized, working in parallel and handing off to the next.
CrewAI
AutoGen
ADK
Typed Agent Frameworks
Write agents that behave predictably in production, with typed inputs and outputs, structured reasoning, and full visibility into what's happening.
PydanticAI
MMastra
OpenAI SDK
Prompt Engineering & Optimization
Stop guessing with prompts. Compile them like code, test them automatically, and improve them based on actual results.
Langchain
DSPy
Promptfoo
L8
Unified Model Gateway
One interface for every model provider. Swap OpenAI for Anthropic or switch to a local model without touching your application code.
LiteLLM
OOpenRouter
PPortkey
Reliability & Fallback
When a model goes down or slows, your service keeps running. Automatic failover and retries handle it silently.
LiteLLM
PPortkey
Cost Governance
Set budgets by team, track spend in real time, and get alerted before you exceed your limits. AI costs don't have to be a surprise.
LiteLLM
PPortkey
Vendor Independence
Use any model, from any provider, including your own, and switch between them without rewriting anything.
OpenAI
Anthropic
Gemini
Mistral
L7
Vector Search & Indexing
Your knowledge base, searchable at scale. Embed documents once and retrieve the right ones in milliseconds, across millions of records.
Qdrant
Milvus
WWeaviate
Hybrid Retrieval
Keyword search finds what you asked for. Semantic search finds what you meant. Hybrid retrieval does both at once.
Qdrant
Elasticsearch
Redis
Document Ingestion Pipeline
Turn any document, whether PDFs, web pages, or databases, into something your AI can actually search and reason over.
DDocling
LangChain
LlamaIndex
UUnstructured
Multi-Stage Reranking
Not every retrieved document is equally good. Reranking ensures the best ones reach the model, not just the most similar.
CCohere Rerank
BBGE
Knowledge Graph Retrieval
Some questions need context across connected facts. Graph retrieval follows those connections to answers vector search can't reach.
Neo4j
FFalkorDB
L6
Tool Protocol (MCP)
MCP makes every tool, database, and API a native capability for any agent, with one protocol and universal compatibility.
MCP
FastMCP
Agentgateway
Enterprise System Connectors
Let your agents actually do things. Connect them to the systems your business runs on so they can read, update, and act on real data.
IInternal APIs
CCRMs
SaaS platforms
Browser & Automation
Some tasks require clicking, browsing, or navigating an interface. Give your agents the hands to do it.
PPlaywright
CComputer use
L5
Input / Output Guardrails
Every message in and every message out is checked before it reaches the model and again before it reaches the user.
NNeMo Guardrails
LLlamaGuard
PPortkey
Data Privacy Controls
Sensitive data stays where it belongs. PII and secrets are caught and redacted before they leave your environment.
LiteLLM
Agentgateway
PPortkey
Adversarial Defense
Attackers try to hijack your agents through their inputs. We detect and block those attempts before they can do any damage.
LiteLLM
Agentgateway
Promptfoo
PPortkey
Human Approval Gates
Some decisions shouldn't be made by an agent alone. We build in the checkpoints that ensure a human approves before anything irreversible happens.
LangGraph
TTemporal
Audit & Compliance
A complete, unchangeable log of everything your AI did: who asked, what ran, what was returned. Ready for audits, compliance, and investigations.
Langfuse
Opik
L4
Distributed Tracing
See exactly what your agent did, step by step: which retrieval call took too long, which model was invoked, where the latency came from.
Langfuse
Phoenix
Opik
Quality Evaluation
Don't guess whether your AI is giving good answers. Measure it automatically and continuously, against benchmarks that actually matter.
Ragas
DDeepEval
Phoenix
Cost & Performance Monitoring
Know exactly what each team, agent, and endpoint is consuming, in real time, with the granularity to actually act on it.
Langfuse
WW&B
Opik
Regression & Adversarial Testing
Every deployment gets tested, not just for bugs but for quality. Catch degradation before your users notice it.
Promptfoo
WW&B
L3
High-Performance Inference
Squeeze every bit of performance from your GPUs. Continuous batching and tensor parallelism keep your inference fast and your hardware busy.
vLLM
TensorRT-LLM
llm-d
TTGI
Fine-Tuning & Alignment
Take a foundation model and make it yours. Fine-tune on your data with efficient LoRA techniques and align it to your users' preferences.
Unsloth
Axolotl
TTRL
Kubeflow Trainer
KubeRay
Experiment Tracking
Never lose track of what you trained, on what data, with what settings. Every experiment is versioned and reproducible.
MLflow
WW&B
Katib
CComet
L2
GPU Workload Scheduling
Schedule GPU workloads efficiently for training and batch jobs with fair allocation, gang scheduling, and predictable performance.
Volcano
Event-Driven Autoscaling
Scale inference workloads based on queue depth, GPU utilization, or custom metrics, from zero to thousands of replicas on demand.
KEDA
Knative
Agent-Native Kubernetes
Deploy AI agents as first-class Kubernetes workloads with native scheduling, lifecycle management, and traffic routing.
Agent Sandbox
Sympozium
Kagent
Agentgateway
Scalable Model Serving
Kubernetes-native model serving with autoscaling, traffic splitting, and A/B rollout for production deployments that adapt to load.
KServe
llm-d
Service Mesh & Zero-Trust Networking
mTLS everywhere, eBPF-accelerated networking, and fine-grained traffic policies for secure, observable inter-service communication.
Istio
Cilium
Envoy
Distributed Compute
A unified compute layer for training, inference, and data processing workloads that scales from a single node to large clusters.
KubeRay
MLOps
Build and operate ML workflows on Kubernetes with tools like Kubeflow, covering pipelines, training orchestration, and model lifecycle management.
Kubeflow
Kubeflow Trainer
L1
Multi-Cloud GPU Provisioning
Provision and manage H100 and A100 GPU clusters across hyperscalers and specialized GPU clouds, with a focus on cost optimization and consistent operations.
AWS
Azure
GCP
Edge Computing
On-premise GPU nodes and hybrid cloud deployments for low-latency inference at the edge while maintaining data sovereignty.
K3s
MicroK8s
Nvidia
Data Lake & Storage
Scalable object storage for storing model weights, datasets, evaluation benchmarks, and pipeline artifacts, with versioning and querying support.
S3
Minio
GCS
Event Streaming
Asynchronous pipelines that feed agents, trigger ingestion workflows, and decouple data producers from AI consumers at scale.
Kafka
SQS
Secrets & Identity
Zero-trust access control with centrally managed API keys, credentials, and RBAC policies, including automatic rotation.
Vault
OpenBao
Keycloak
IaC & GitOps
All infrastructure resources are defined in code, version-controlled, and deployed through automated pipelines to ensure full reproducibility.
Terraform
ArgoCD
FluxCD
Helm
Ready to build your AI infrastructure?
Talk to our team about designing, integrating, and operating your AI platform — from data preparation to production-grade agentic AI.