Trusted by companies across the USA
Dedicated AI agent engineers for Adams businesses, billed hourly, no long-term contract required.
For your Adams business.
Trusted by companies across the USA
A dairy processor near Adams, New York was drowning in paperwork every harvest season, three staff members manually cross-checking supplier invoices against inventory logs, catching maybe half the discrepancies before they became a problem. That kind of gap is exactly where an AI agent earns its keep. Not a chatbot bolted onto a website, but a system built with LangGraph that can read a document, check it against a database, flag exceptions, and escalate only what actually needs a human. Adams doesn't have a deep bench of engineers who build this stuff daily, and that's fine, because the developer doesn't need to sit in your building to do the work well.
Our team operates out of Gandhinagar, India, and has since 2015. We work with US clients across time zones every day, which means a business in New York state gets a developer online during your morning meetings and again for evening check-ins, with async updates filling the gaps through Slack or Loom video. There's no relocation, no visa sponsorship, no local office lease to worry about. You're hiring engineering hours, not real estate.
The technical work itself varies by what you're automating. Some Adams-area clients need a LangChain-based agent that pulls data from three internal systems and summarizes it for a manager who doesn't have time to check each one. Others need function calling wired up so an OpenAI-based assistant can actually take action, create a ticket, update a record, send an alert, rather than just answering questions. Vector databases come into play when the agent needs to search through years of internal documents or support tickets to find relevant context before responding. None of this is theoretical for us; it's the daily work of a small team that has shipped over 500 projects for clients in more than 20 countries.
What we won't do is promise an agent that never makes mistakes. Early versions almost always need a human-in-the-loop step for anything with financial or legal consequences, and we build that in from day one rather than bolting it on after something goes wrong. If you're in New York and running a business where a chunk of your team's week goes to repetitive judgment calls, that's usually a sign an agent could take the first pass and let people handle the exceptions.
We design agent workflows with LangGraph so the system can retry, branch, and hand off to a human when confidence is low, which matters more once an Adams client's agent hits real edge cases.
Founded in 2015, our engineers have stayed together long enough to have opinions about what actually breaks in production agent systems, not just what works in a demo.
New York mornings line up with our evening hours, so daily standups and quick Slack replies happen without either side staying up until 2 a.m.
Repositories, model configs, and vector store data stay in accounts you control from the first commit, no vendor lock-in dressed up as convenience.
Our developers wire tool use directly into business systems, so agents built for Adams-area clients take real actions instead of just generating text.
If a use case is a bad fit for current LLM reliability, we say so before you pay for a sprint, not after the demo underwhelms your team.
One developer embedded in your team full time, best when the agent project touches multiple systems and needs steady iteration.
Good fit for a single well-defined agent, like a document-processing workflow, that doesn't need daily attention once built.
Pay for actual hours worked when you need a scoped fix, a proof of concept, or help debugging an existing LangChain setup.
Bring on a small pod, a developer plus a reviewer, for projects that need both build speed and a second set of eyes on prompt and agent logic.
We talk through what you're trying to automate and what data or systems the agent would need to touch. No sales script, just an honest read on feasibility.
We match you with an engineer who has actually shipped LangChain or LangGraph agents before, and you get to ask them questions directly before committing.
Your developer spends the first week reading your codebase, documentation, and existing data sources, then proposes an architecture instead of guessing.
We agree on a narrow first milestone, usually a single working agent function, so you see real output within the first couple of weeks rather than a slide deck.
Weekly demos, a shared task board, and direct Slack access keep the work visible, with adjustments made as the agent handles more real cases.
"Ritik and his team at Aneri Developers are top notch! We have been working together for almost 2+ years now and the project continues to evolve exactly how I had envisioned it. His communication is amazing and his attention to detail is even better! The mobile app and back office that we have created has freed up so much of my day to day while also giving my clients much better transparency and service in return too. His pricing is very fair and I feel extremely lucky to have him helping behind the scenes and growing my business! I look forward to all our future endeavors and continued success. Thank you!"
"I used Aneri Developers to build a campaign website. They were responsive, creative and handled any web-site related problems promptly. The turnaround time to implement updates was impeccable. Rutvik was also very patient and gracious. I recommend Aneri Developers for your website development needs."
"Great developer. On Time. Reasonable pricing. I trust working with him. We have an on going business now!"
Tell us what you're trying to automate and we'll match you with a developer who has actually built agent systems like it before, then get a proposed first sprint back within days.
For your Adams, New York business.