We Build Agentic Systems That Operate in Production
We design memory engines, multi-agent workflows, organizational R&D systems, and private LLM deployments using modern inference stacks like vLLM.
Selected work
Companies We've Worked With
A few of the teams and platforms our work has supported.
Airtel Payments Bank
cure.fit
Dream11
Landmark Group
Goodworker
Onco
Modern AI Systems, Built for Work
We help organizations move beyond chatbots into agentic systems, memory infrastructure, and LLM platforms that teams can actually run.
Agentic Systems
Multi-agent systems that can plan, call tools, coordinate workflows, and operate against real business constraints.
- Tool-using agent workflows
- Human-in-the-loop controls
- Production observability
Memory Engines
Long-term memory, retrieval, knowledge graphs, and context systems that make AI useful inside your organization.
- RAG and semantic retrieval
- Entity and workflow memory
- Enterprise knowledge layers
LLM Deployment & R&D
Applied AI R&D, model evaluation, fine-tuning, and private LLM deployment with performant inference stacks like vLLM.
- vLLM inference serving
- Model evals and routing
- Secure private deployments
Built for Teams Moving Beyond Chatbots
Whether you're a mid-market company, government agency, or fast-growing startup — we tailor agentic and LLM infrastructure to your operating context.
Mid-Market B2B
100–2,000 employees, $20M–$500M revenue
“You don't need another chatbot. You need AI that remembers context, uses tools, and helps teams get work done.”
The Problem
Teams have data, tools, and AI experiments, but no reliable agentic system that fits daily operations.
How We Help
We build workflow-aware agents, memory layers, and internal R&D systems that connect to the tools your teams already use.
Pilot Investment
$15K–$50K
Timeline
6–12 weeks
Government & Public Sector
Central/state agencies, PSUs, digital governance bodies
“Sensitive AI workloads need more than an API call. They need secure architecture, evaluation, and operational discipline.”
The Problem
AI mandates are rising, but data security, compliance, private deployment, and vendor lock-in concerns block progress.
How We Help
We design compliance-aware AI systems, private LLM deployments, evaluation workflows, and inference architectures that can be governed.
Pilot Investment
$25K–$100K
Timeline
8–16 weeks
Startups & Scale-ups
Series A–C companies building AI-native products
“When AI is the product, quality, latency, memory, and inference cost become core engineering problems.”
The Problem
Agent quality is inconsistent, inference is expensive, and the founding team needs to ship deeper AI capabilities fast.
How We Help
We help with agent orchestration, memory, evals, model routing, fine-tuning, and vLLM-based serving for AI-native products.
Pilot Investment
$8K–$30K
Timeline
4–8 weeks
Build, Evaluate, Deploy
A practical engagement model for moving from research questions to production-ready agentic and LLM systems.
Phase 1
Discovery
1–2 weeks
Deep-dive into your workflows, data, model constraints, and deployment environment. We identify where agents, memory, or LLM infrastructure can create leverage.
- Stakeholder interviews
- Data, tools & systems audit
- Architecture direction
Phase 2
Build
4–8 weeks
Rapid iteration on the system — agent workflow, memory layer, R&D prototype, or LLM deployment. Weekly reviews with the teams who will use and operate it.
- Weekly build reviews
- Iterative development
- Evaluation-driven changes
Phase 3
Measure
2–4 weeks
Run in production or controlled production. Measure quality, latency, cost, reliability, and business impact before scaling.
- Production deployment
- Model and workflow evals
- Cost and latency tracking
Phase 4
Expand
1 week
Turn the working system into a roadmap: scale to adjacent teams, add new tools and memory, or harden private LLM infrastructure.
- Leadership presentation
- System roadmap
- Next-phase scoping
Featured Products
A few highlights from our portfolio — from acquired startups to AI and infrastructure platforms serving real users.
POYNT
Smart payment terminal platform powering merchants across the US.
Plustxt
Multilingual messaging platform that scaled to hundreds of millions of users.
Eros Now
Indian OTT subscription platform with AI-driven content recommendations.
DPSN
Real-time messaging infrastructure for AI agent communication at scale.
TRAKInvest.ai
AI-powered social trading platform combining machine learning with market intelligence.
EMONEY.io
Next-generation financial infrastructure bridging traditional banking and digital finance.
Ready to Build AI That Actually Operates?
Book a discovery call. We'll map where agentic workflows, memory, or private LLM infrastructure can create the most leverage.