Forward-Deployed AI · Custom Workflow Automation · Pune, India
AI Agents & Custom Workflow Automation for Your Business
Forward-deployed engineers who embed in your org, discover inefficiencies, and ship AI-powered automation that fits your exact workflows.
Industries Served
Financial Services · SaaS · AI/ML · Healthcare · E-Commerce
Engagement Models
Forward-Deployed Sprints · Dedicated Teams · Full GCC Build-Outs
Headquartered In
Pune, India — serving global enterprises across the US, UK, and Europe
What We Do
AI Automation & Forward-Deployed Engineering
Custom AI agents, workflow automation, and embedded engineering teams that discover and solve problems you didn't know you had.
GCC Setup
End-to-end Global Capability Centre establishment in India. From entity formation and compliance to talent acquisition and ongoing operations manageme...
Learn moreAI Training
Large-scale data labeling, annotation, and AI model training operations. We provide the human intelligence layer that makes machine learning models ac...
Learn moreForward-Deployed
Engineers embedded at your organization who discover problems at the source and build AI-powered solutions on-site. We go beyond staff augmentation — ...
Learn moreRecruitment Tech
AI-powered recruitment technology that enables GCCs to hire at scale without compromising quality. From sourcing to onboarding, our tech stack handles...
Learn moreInternal Tools
Custom internal tools and AI-powered systems that drive operational efficiency. From knowledge management to workflow automation, we build the invisib...
Learn moreCustomer Support
Dedicated customer support teams augmented with AI. Multi-channel, 24/7 operations with intelligent routing, sentiment analysis, and continuous qualit...
Learn moreWhy WorksNet
We Build AI That Fits Your Workflow — Not the Other Way Around
Most AI vendors hand you a product and expect you to change how you work. We take the opposite approach: our engineers embed in your team, map your actual workflows, then build custom automation that integrates seamlessly with the tools and processes you already have.
Problem-First, Not Product-First
We don't sell a platform. We identify the specific inefficiencies costing you time and money, then engineer targeted solutions using LLMs, custom agents, or traditional automation — whichever fits best.
Full Ownership — Code, Data, People
Whether it's automation we build or a GCC team we help you hire, you own everything. No vendor lock-in, no recurring SaaS fees for custom work. Your IP is yours.
India's Engineering Talent, Your Dedicated Team
Through our GCC service, you get a fully integrated engineering team in Pune that operates as part of your company — not a contractor, not an agency, your own team with your culture.
Weeks to Value, Not Quarters
Our forward-deployed model means engineers are productive from day one. Discovery, prototyping, and first deployments happen in the first 2-4 weeks of engagement.
How Engagements Typically Look
Every engagement is different, but here's a typical trajectory for a forward-deployed automation project:
Week 1–2
Engineer embeds, maps workflows, identifies top automation candidates
Week 3–4
First automation prototype built, tested with real data, iterated on feedback
Week 5–8
Production deployment with monitoring, additional workflows automated in parallel
Ongoing
Iteration, new use cases, knowledge transfer to your internal team
Our Approach
Simple Process, Exceptional Outcomes
We embed, discover, and deploy — shipping custom AI automation in weeks, not quarters.
Embed & Discover
Our engineers join your team — same Slack channels, same standups, same codebase access. They observe how your team works, identify repetitive manual processes, and map the workflows where AI automation would have the highest impact.
Prototype & Validate
We build a working prototype of the highest-impact automation within the first 2-3 weeks. Not a mockup or a proposal — real code, running against real data, that you can test and give feedback on immediately.
Ship & Iterate
Production deployment with monitoring, error handling, and alerting. Then we iterate: improve accuracy, add edge cases, expand to adjacent workflows. Knowledge transfer happens continuously so your team can maintain and extend the system.
Technical Expertise
The Stack Behind Our Solutions
We pick the right tool for the problem — not the other way around. Our engineers are practitioners across the AI and data engineering ecosystem.
LLM Orchestration
Multi-model systems using OpenAI, Anthropic, and open-source models. We route tasks to the right model based on cost, latency, and quality requirements.
Custom AI Agents
Autonomous agents built with tool-calling, retrieval-augmented generation, and structured output. Not chatbots — real task-completing systems.
Data Engineering
Batch and streaming pipelines on AWS/GCP. Kafka, Spark, dbt, Airflow — designed for reliability and observability at production scale.
Full-Stack Delivery
React, Next.js, Python, FastAPI, PostgreSQL, Redis. Clean architecture, CI/CD from day one, infrastructure-as-code on every project.
Problems We Solve
Real Scenarios, Real Outcomes
A sample of the types of problems our forward-deployed engineers have tackled across industries.
A SaaS company's operations team was spending 30+ hours per week manually classifying and routing support tickets across 12 product areas.
What we built
We built a multi-label classification agent using fine-tuned embeddings that auto-routes tickets with routing accuracy above human operators — reducing triage time to near-zero.
A fintech startup needed to build a 50-person engineering team in India but had no local presence, legal entity, or recruitment pipeline.
What we built
Full GCC setup: entity incorporation, office lease, HR systems, and a recruitment engine that filled all 50 roles within 14 weeks — engineers integrated into their existing sprint cycles.
An AI company training foundation models needed to scale from 50K to 500K annotations per month while maintaining strict quality benchmarks for RLHF data.
What we built
Designed a hybrid human-AI annotation pipeline with multi-layer QA, active learning for pre-labeling, and domain-specific annotator training that hit target volume without quality regression.
Insights
Latest from Our Blog
Data Analytics at Scale: How GCCs Process Millions of Data Points Daily
Real-world look at how GCC data teams handle massive data processing — architecture patterns, team structures, quality frameworks, and tooling.
Internal Tools and AI Systems: Building the Infrastructure That Makes GCCs Efficient
How custom internal tools and AI-powered systems drive operational excellence in Global Capability Centres — knowledge bases, workflow engines, and analytics dashboards.
Why Pune Is Emerging as India's Premier GCC Destination
Analysis of Pune's advantages for GCC setup — talent density, infrastructure, cost comparison with Bangalore and Hyderabad, quality of life, and ecosystem maturity.
Ready to Automate Your Workflows?
From a single AI agent to full-scale workflow automation, we embed, build, and ship — tailored to how your team works.