From Prompt to
Production Agents.
We design, build, orchestrate and deploy AI agents that work reliably in production, at any scale.
10
Agents
10
Active
99.1%
Uptime
271K
Runs
0
Agents in Production
Enterprise-grade deployments
0+
AI Systems Delivered
Across enterprise verticals
0.0%
Avg. Uptime
Production reliability
Sounds familiar?
Most teams build impressive agent demos. Then reality hits.
Built an agent using Claude but stuck at demo?
No memory? Your agent forgets everything between sessions.
No orchestration? Can't coordinate multiple agents.
No observability? No idea what your agent is doing or costing.
No deployment strategy? Still running on localhost.
Costs spiraling? Token bills through the roof.
We turn prototypes into
scalable agent systems.
End-to-end agent engineering: from architecture design to cloud deployment with full observability.
Architecture
Agent-native design from the ground up
Memory
RAG + episodic memory systems
Orchestration
Multi-agent workflows at scale
Observability
Full trace & token-level monitoring
Deployment
Cloud-native, reliable, cost-optimized
Meet the Agents Working for Us
These are our production-deployed AI agents, each solving real problems at enterprise scale. Click any card for detailed diagnostics.
Agentic Martech Platform
Autonomous Campaign Engine
Model
Claude
Memory
Episodic + Vector
Uptime
99.8%
Executions
52.8K
Samwad & Saarthi
Conversational AI Agents
Model
GPT-4x
Memory
RAG + Long-context
Uptime
99.1%
Executions
34.2K
NCH RCA Agent
Root-Cause Analysis
Model
Claude
Memory
Time-series + Vector
Uptime
99.9%
Executions
28.7K
Geo-Intelligence Engine
Geospatial AI Platform
Model
Llama 3
Memory
Vector DB + Tiled
Uptime
98.5%
Executions
18.4K
Energy Anomaly Agent
PAN-India Anomaly Detection
Model
GPT-4o
Memory
Streaming + Vector
Uptime
99.6%
Executions
12.1K
Annotation Agents
ML Data Labeling Pipeline
Model
Claude
Memory
Short-term + Cache
Uptime
97.3%
Executions
8.4K
Demand Gain
Autonomous Dynamic Pricing
Model
GPT-4o
Memory
Time-series + Episodic
Uptime
98.9%
Executions
22.6K
ROAS Optimizer Agent
Portfolio Ad Spend Optimization
Model
GPT-4o
Memory
Time-series + Vector
Uptime
99.2%
Executions
45.3K
Share of Voice Agent
Market Intelligence & SOV Tracking
Model
Claude
Memory
Vector DB + Tiled
Uptime
98.7%
Executions
16.8K
Market Analysis Agent
Portfolio Market Intelligence
Model
GPT-4o
Memory
RAG + Episodic
Uptime
99.6%
Executions
31.5K
Trusted by Industry Leaders.
Organizations running real agents in production with ptero.in.
Leading Consulting Firm
Enterprise Advisory
End-to-end agent engineering for enterprise advisory workflows. Automating research synthesis, due diligence, and report generation pipelines with multi-agent orchestration — delivering 40% reduction in manual research effort and 3x faster report generation.
1DigitalStack
Digital Platform
Agent-native digital platform infrastructure. Autonomous workflows connecting product, data, and customer touchpoints across the full digital stack — reducing integration lead time by 60% and enabling real-time cross-channel orchestration.
EDT
Travel Intelligence Agents
Building Travel Intelligence Agents for the hospitality sector. Real-time pricing signals, demand forecasting, competitor monitoring, and autonomous rate optimization — achieving 25% improvement in rate parity and 2x faster competitive response times, all running in production.
Engineering-first.
No fluff, no prototypes.
Every service is designed for production systems that need to work at scale, reliably, every time.
Agent Architecture Design
FoundationWe design agent-native architectures tailored to your domain. Single-agent or multi-agent topologies, tool routing, prompt engineering, built to scale.
Multi-Agent Orchestration
OrchestrationCoordinator-worker hierarchies, event-driven pipelines, and stateful workflows. We build the plumbing that lets agents collaborate reliably.
Memory Systems
Memory / RAGFrom short-term context windows to long-term vector stores. We implement RAG pipelines, episodic memory, and semantic caching for persistence.
Tool Integration
ToolingConnect your agents to any API, database, or internal service. We build robust tool wrappers with error handling, retries, and schema validation.
Observability & Monitoring
OpsFull-stack tracing for every agent run. Token usage, latency, tool calls, and reasoning chains, all captured with alerting built in.
Cloud Deployment
ICP / K8sProduction deployments on GCP Cloud Run or AWS ECS. Auto-scaling, secrets management, CI/CD pipelines, all production-hardened.
Cost Optimization
FinOpsLLMs are expensive. We audit your agent runs and implement caching, model routing, and prompt compression to cut costs by 40-70%.
The people behind
the agents.
A lean, senior team of engineers, architects, and domain experts building production-grade agent systems.
Pulin Pathneja
FounderBackend Architect → Agent Engineer · 20+ years
Fractional CTO who has designed, deployed, and scaled autonomous multi-agent systems across telecom, SaaS, and travel tech. Shipped production agentic AI serving 350M+ users on a 3.2T daily record data platform. Led 45+ engineers across 4 verticals.
Ximi Hoque
AI Research · IIT Ropar
Deep Learning Researcher · 6+ years
Published researcher from IIT Ropar and IIT Delhi AI lab with 8+ publications in AI/ML. Specializes in deep learning, NLP, and multi-agent systems. Leads Ptero's agent reasoning frameworks.
Rahul Kapoor
ML & Infra Advisor
ML Infrastructure · 12+ years
Former Amazon and Flipkart ML infrastructure engineer. Built model serving platforms handling 50K+ req/sec. Advises Ptero on agent infrastructure, model serving, and cost optimization.
Ananya Sharma
NLP & RAG Specialist
NLP & Retrieval Systems · 8+ years
Former Freshworks NLP engineer. Architected RAG pipelines serving 10M+ queries/month. Specializes in retrieval system design, prompt engineering, and large-scale knowledge retrieval.
Dev Malhotra
Platform Engineer
Platform & DevOps · 10+ years
Former Razorpay and Thoughtworks platform engineer. Designed cloud-native deployments with 99.95% uptime SLAs. Builds observability pipelines and CI/CD for Ptero's agent systems.
"Agents are just distributed systems with a reasoning engine. Engineer them accordingly."
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