We're the technical team behind AI agent platforms, multi-agent orchestration systems, and AI-powered SaaS products that US founders and businesses launched, raised funding on, and scaled — without hiring a full engineering team.
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Hands-on GenAI training for business teams, engineers, and leaders — tailored to their roles and delivered online, on-site, or in a hybrid format. Taught by the team that builds and ships AI products commercially, so sessions end in working output rather than notes.
300+ corporate professionals trained · delivered with Tata Consultancy Services, LearnQuest and Chitkara University
Agents, RAG and evaluation built against your own stack.
Generative AI and AI with Finance, with no coding background needed.
Opportunity mapping, cost and ROI, build-vs-buy, governance.
Gen AI and AI with Finance programmes for technical and non-technical cohorts.
Whether you're launching a new AI product or automating an existing business — if you need results fast, we're built for you.
Specialized AI development services for founders and US businesses. We build LLM-powered agents, multi-agent orchestration systems, AI automation pipelines, and production SaaS platforms. Pick your path.
What an agent deployment actually looks like in a 4-8 week sprint: one workflow, scoped narrow, wired into the tools you already run — with a person in the loop wherever an action is hard to undo.
An agent reads incoming tickets and answers the repeatable ones from your knowledge base — order status, password resets, policy questions. Everything else reaches your team with the context already gathered. Scope starts narrow and widens as you see what it gets right.
Agents identify prospects, research each account, and write personalized outreach and follow-ups straight into your CRM as ready-to-send drafts. A human approves before anything leaves — which is what protects your domain reputation and your brand.
Agents take one document family at a time — invoices, claims forms, contracts — extract the fields you name, and write them into your ERP or CRM. Anything the model is unsure about routes to a person instead of being guessed at.
An agent pipeline reads inbound applications, summarizes each one against criteria you define, and books interviews on your calendar. It never auto-rejects: a recruiter makes every call, and sees the reasoning behind each summary.
Agents pull from your accounting and billing systems, assemble the recurring reports your stakeholders already expect, and flag transactions that break rules you set. You review before anything is sent or booked — agents never move money.
Agents watch supplier feeds, inventory levels and delivery signals, surface risks early, and prepare reorder POs at the thresholds you set. The PO waits for a human. Automating the watching is the win; automating the buying is the risk.
You need an AI agent — or a system of agents — that handles real tasks autonomously. We design, build, and deploy them. From a single-purpose agent to a fully orchestrated multi-agent pipeline, we know the architecture, the pitfalls, and how to ship production-grade AI fast.
Custom AI agent design & deployment
Multi-agent orchestration pipelines
Tool & API integration for agents
RAG knowledge systems & vector search
LLM selection, prompting & fine-tuning
Production AI infrastructure & monitoring
A structured sprint designed for speed and clarity. You always know where we are and what's next.
From first-time founders to repeat builders — here's what they experienced working with us.

Alex Rivera
Founder, AI Agent SaaS

Priya Nair
VP Operations, US Healthcare SaaS

James Okafor
Founder, AI Sales Automation Platform
Fixed-scope projects. No hidden fees. No hourly billing surprises. You know what you're getting before we write a line of code.
For founders validating an idea. A focused AI agent or automation MVP — enough to test with real users and show early traction.
Idea validation session
Core feature build (1 flow)
Core AI agent build (1 use case)
Deployed & live product
2-week delivery
Post-launch support
Full-featured AI agent platform or automation suite. Built to impress investors and acquire your first 100 users.
Full product scoping & architecture
AI agents & orchestration (full build)
Frontend + backend + integrations
4-8 week delivery sprint
30-day post-launch support
Fundraising-ready product demo
Your on-demand technical co-founder. Strategy, architecture, team leadership, and ongoing development.
Technical strategy & roadmap
Architecture & stack decisions
Dev team hiring & oversight
Investor pitch tech support
Ongoing product development
Flexible monthly engagement
All projects are scoped and priced individually. Book a free 30-min call to get a custom estimate for your idea.
Straight answers to the questions we hear most from founders evaluating us.
Stay informed with our latest insights on MVP development, scaling strategies, and tech innovations to fuel your startup's growth.
One paper found frontier models falling to chance at tracking changing values in long inputs. Another found short, compacted context lost little accuracy at a fraction of the cost. Together they point to one design.

Surya Pratap
Founder, Idea to MVP
SDK 3.42.0 added automatic action review, compaction control and a time-awareness flag. Here is what each one does when you leave it out, and which ones to pin.

Surya Pratap
Founder, Idea to MVP
Allowed tools, a latest time, a maximum cost, tool constraints and an ending condition. The revised Spec asks the model to respect them. Here is how to make your product enforce them too.

Surya Pratap
Founder, Idea to MVP
Book a free 30-minute discovery call. We'll scope your project and give you an honest estimate — no pitch deck required.
Or email us at [email protected]
Tell us about your idea. We'll review it and get back within 24 hours with thoughts on scope, timeline, and next steps. No pitch decks required — just a quick note about what you're building.
Practical guides on building AI agents and automating businesses. No fluff — just real lessons from founders and operators in the US market.
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