Trusted by companies across the USA
Dedicated LangChain and LangGraph engineers who build agents doing real work, not demos.
For your Albion business.
Trusted by companies across the USA
A coastal inn owner near the Albion River recently described her booking process to us: a spreadsheet, three email inboxes, and a nephew who answers guest questions when he remembers to check his phone. That is not unusual for small hospitality and vacation-rental operations along the Mendocino coast, where staff are thin and the season is short and the difference between a filled room and an empty one comes down to how fast someone replies. An AI agent that reads incoming emails, checks availability, and drafts a reply for approval solves a real staffing gap, not a hypothetical one. That is the kind of problem our AI Agent Developers get hired to fix.
Most requests we get from this stretch of the Mendocino coast are not about building a flashy chatbot. They are about connecting an agent to whatever systems already run the business: a booking calendar, a QuickBooks export, an inventory sheet for a small winery tasting room, a shared drive full of PDFs nobody has time to search manually. We build these agents using LangChain and LangGraph so the logic can branch, retry, and hand off to a human the moment confidence drops, rather than guessing and hoping the guest does not notice. Function calling and tool use are what make an agent actually do something, send an email, update a record, place an order, instead of just describing what it would do if someone let it. That distinction matters more than most vendors admit, because a chatbot that only talks is a novelty, and an agent that acts on your systems is a liability if it is not built carefully.
We are based in Gandhinagar, India, and our roughly ten-person team has shipped over 500 projects for clients across 20-plus countries, several of them along this coast. There is no office nearby and no staff placed anywhere near it, and we are not going to pretend otherwise. What we offer instead is a developer who shifts their schedule to overlap with your mornings, joins a standup over Zoom, and hands you commits you can read in a shared repository the same day they are written. Screen recordings through Loom cover anything that happens outside your working hours, so nothing gets explained secondhand. Clients keep every line of code; nothing is licensed back to us, and nothing sits behind a subscription you lose access to later.
Where this gets technical fast is retrieval. If your agent needs to answer questions from a policy document, a rate sheet, or years of guest correspondence, it needs a vector database and a Python backend tuned to your actual data, not a generic prompt stitched onto a public model. OpenAI's API handles the reasoning step well enough on its own, but the retrieval layer and the guardrails wrapped around it are where most agent projects either hold up or quietly fall apart under real traffic. We have seen agents built without proper tool-use boundaries start taking actions nobody asked for, which is one honest limitation of this technology worth saying out loud: an agent is only as disciplined as the constraints you write for it. Testing those boundaries is part of every build we hand off, whether the client runs a two-room inn or a multi-location operation up and down the coast.
We use LangChain, LangGraph, and OpenAI's function calling, the same stack powering agents at companies far larger than a typical small coastal business, scaled down to fit your actual budget and needs.
Our developers shift their schedule to cover your morning and early afternoon hours, so standups happen live instead of over a delayed email thread.
Founded in 2015, we have shipped over 500 projects; agent architecture is a smaller slice of that, and we will tell you plainly if your idea does not need one.
Every agent, prompt template, and vector store schema we build stays in your GitHub account from day one, no exceptions.
We do not bolt a vector database onto a project as an afterthought. Chunking strategy, embedding choice, and how stale data gets refreshed all get decided before a line of agent logic is written.
Agents that touch payments, medical records, or legal filings need extra guardrails and more testing time than a marketing chatbot does. We scope that reality upfront instead of discovering it mid-sprint and blowing past a deadline.
One developer embedded in your team full days, best for building an agent platform from the ground up or maintaining one that already handles real customer traffic.
Half-time coverage for adding a new tool integration, tuning a retrieval pipeline, or maintaining an agent that is already stable but needs steady attention.
Pay only for the hours logged, useful for a scoped fix like improving function-calling reliability, patching a broken integration, or debugging a LangGraph state machine.
A small pod, often a Python engineer paired with an agent architect, for projects juggling multiple integrations and data sources running in parallel.
We talk through what you want the agent to actually do, which systems it needs to touch, where the data lives, and where a human should stay in the loop before anything gets automated.
We pick an engineer whose LangChain and vector database experience fits your specific use case, not just whoever happens to be free that week.
Your developer spends the first days reading your existing data sources, APIs, and codebase before writing a single prompt or touching production.
We scope a working slice, often a single tool call or one retrieval flow, so you see real agent behavior on real data within the first sprint instead of a slide deck.
Regular check-ins, visible commits in your own repository, and a running list of what shipped keep the build moving without surprises or vague status updates.
"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 the agent needs to do and which systems it touches, and we will match you with a developer who has already built something close to it before, on a similar budget.
For your Albion, California business.