Trusted by companies across the USA
Add a working AI agent developer to your Adirondack team without the six-month hiring cycle.
For your Adirondack business.
Trusted by companies across the USA
A property management company covering vacation rentals scattered through the Adirondack Park got tired of staff manually answering the same guest questions about trail closures, check-in codes, and where cell coverage actually works. They wanted an agent that could pull from a knowledge base and resolve requests on its own, not just parrot canned replies. That is a fair description of most projects that land on our desk from this region of New York: seasonal lodging operators, small logistics companies, and regional service businesses that need software smart enough to handle real variability, not another chatbot that falls apart the moment a question veers off script.
Building that kind of system means someone who has actually shipped agents past the demo stage. Our developers work in LangChain and LangGraph daily, which matters because a single prompt-response loop breaks down fast once you need multi-step reasoning, like an agent that has to check inventory, confirm a booking window, then escalate to a human if the dates conflict. We pair that with the OpenAI API for the language layer, Python for everything gluing it together, and vector databases so the agent can search your actual documents instead of guessing. Function calling and tool use are what let the agent take real actions, like updating a reservation or pulling a weather advisory, instead of just describing what it would do.
The honest tradeoff: agent-based systems are less predictable than a straightforward web app, and testing them takes longer because you're accounting for edge cases in how people phrase requests. A guest asking about a closed trailhead might phrase it five different ways, and the agent needs to catch all five. We tell clients this upfront rather than let them discover it during a demo. What we can promise is a developer who has debugged this exact failure mode before and knows where agents tend to drift once they leave a controlled test environment and start handling messy, real-world phrasing.
Our team operates out of Gandhinagar, India, and works entirely remote, which is not a compromise, it is how we've delivered over 500 projects since 2015 for clients across 20-plus countries. We shift hours to overlap with your workday, run daily standups over Zoom or Slack, and you own every line of code from day one. No recruiting firm sits between you and the person writing your agent's logic, and no offshore layer slows down the feedback loop when something needs fixing.
A lot of what makes an agent useful comes down to boring decisions nobody notices until they go wrong, like how much context to feed the model per query, when to trust a retrieved document versus asking a clarifying question, and how to log failures so you can actually debug them later instead of guessing why the agent gave a wrong answer. We've made those calls enough times to know which shortcuts cost you later and which ones genuinely don't matter for a small or mid-size deployment.
We've built LangGraph agents that survive contact with real users, not just impressive Loom recordings, which matters for a seasonal Adirondack business that can't afford downtime during peak months.
Founded in 2015, we've handled 500-plus projects, which means fewer surprises when your agent hits an edge case nobody planned for.
Our schedule flexes to cover your business hours in New York, so standups and reviews happen live instead of over an asynchronous document.
Every commit, prompt template, and vector store schema belongs to you, not locked behind a vendor's proprietary platform you'd have to migrate away from later.
If a tool-use chain is going to be flaky under certain inputs, we say so before you sign off, not after launch, so budget conversations stay grounded in reality.
You talk directly with the developer working on your agent, which cuts the miscommunication that comes from a middleman relaying requirements back and forth.
One developer dedicated to your agent project full days, best when you're building the core reasoning system and integrations from scratch rather than bolting an agent onto an existing app.
Good fit once the initial agent is live and you need steady iteration on prompts, tool calls, and the occasional new data source rather than a full build cycle.
Pay for actual time spent, useful for scoping a proof of concept or testing whether LangGraph fits your workflow before committing to a bigger build.
Pair an agent developer with a backend or frontend engineer when the project spans more than the AI layer, such as a booking system or admin dashboard around the agent.
We talk through what you want the agent to actually do, including the messy parts like edge cases, fallback behavior, and what happens when the agent genuinely doesn't know the answer.
We introduce a developer whose LangChain and vector database experience matches your specific use case, not a generic profile pulled from a bench of available names.
Your developer reviews your data sources, existing tools, and any API access needed, usually within the first several days, then flags anything that looks like a gap before writing code.
We scope a concrete first sprint, often a working prototype of one core agent workflow you can actually test with real questions instead of a scripted demo.
Regular check-ins and incremental releases keep the agent improving instead of disappearing into a black box for weeks, with you seeing working code every cycle.
"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 need your agent to handle, and we'll match you with a developer within a few days, no long recruiting cycle or lengthy contract negotiation required before work actually starts.
For your Adirondack, New York business.