Trusted by companies across the USA
Add a LangGraph and OpenAI API specialist to your Afton team without a lengthy in-house search.
For your Afton business.
Trusted by companies across the USA
A cotton gin operator outside Afton doesn't need another dashboard. What they need is something that reads incoming grower texts and weigh-ticket PDFs, matches them against contracts, and flags discrepancies before a truck ever leaves the yard. That's the kind of problem that pulls small and mid-size operations in Afton, Texas toward hiring an AI agent developer instead of a generalist. The work is narrow, the stakes are real, and a poorly built agent that hallucinates a number on a grain contract costs more than the developer's monthly rate.
We've built this exact category of tool more times than we can count, mostly for clients who never planned to touch AI until a competitor automated something they were still doing by hand. Our developers work in Python and lean on LangChain or LangGraph depending on whether the workflow is a single call-and-respond chain or something with branching state, like an agent that has to check inventory, then check a supplier API, then decide whether to escalate to a human. Function calling and tool use matter here too. An agent that can only chat is a novelty; one that can actually query your ERP, update a record, or place a hold is worth paying for.
Afton sits in a part of Texas where agriculture, small manufacturing, and regional distributors still run a lot of processes on spreadsheets and phone calls. That's not a criticism, it's an opening. A vector database holding your product catalog, service manuals, or historical support tickets turns a slow manual lookup into something an agent can answer in seconds, correctly cited, without a staffer digging through folders. We size the retrieval setup to the actual document volume rather than defaulting to whatever's trendy, because an over-engineered vector store on a 200-document catalog just adds latency and cost.
Our team operates out of Gandhinagar, India, and we're upfront about it. There's no local office in Afton and we're not going to pretend otherwise. What you get instead is a developer who overlaps with your morning and early afternoon in Texas, joins your standups, and reports through Slack or a shared board like anyone else on your team. Clients keep every line of code, every prompt template, and every deployment credential. That arrangement has worked for us across 500-plus projects since 2015, and it tends to work best when the client treats the AI developer as embedded staff, not an outside vendor dropping off a deliverable.
We test what an agent does when a tool call errors or an API times out, not just the happy path a demo would show. That matters more once a Texas client's agent is handling real orders.
LangChain and LangGraph are tools we reach for when the state logic calls for them, not defaults we bolt on to every project. Sometimes a plain Python script with function calling is the cleaner build.
Since 2015 we've shipped 500-plus projects where the client walks away owning every repository and credential. Nothing sits locked in a proprietary platform you'd have to renegotiate.
Our developers structure their day to overlap with Central Time mornings and early afternoons, so standups and code reviews happen live instead of by email chain.
We'll tell you when a vector database is overkill for a small document set instead of selling you one anyway. Retrieval only earns its cost when the corpus is big enough to matter.
We've supported clients across 20-plus countries, and every engagement still runs through one developer or lead you talk to directly, not a rotating support queue.
One developer dedicated to your agent build across the month, best when you're shipping a production system on a real deadline.
Suited to teams iterating on a single agent workflow or maintaining one already in production without needing full-time attention.
Useful for a scoped task, like adding a new tool integration or debugging a flaky retrieval pipeline, without committing to a monthly block.
For larger builds needing a developer plus a reviewer or backend engineer working together, sized to the scope you bring us.
We talk through what the agent needs to do, what systems it touches, and what happens when it gets something wrong. No sales script, just scoping.
We put forward one or two developers whose LangGraph or OpenAI API background fits your case, with their past work for context.
Your developer spends the first week reading your codebase, docs, and any existing prompts before writing anything new.
Together you set the first sprint's goals, usually one working agent flow end to end rather than a pile of half-built features.
From there it's regular standups, visible progress in your project tool, and demos you can react to before the next sprint starts.
"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 handle and we'll match you with a developer who's built something close to it before.
For your Afton, Texas business.