Trusted by companies across the USA
For Alameda teams automating workflows with LangChain, LangGraph, and OpenAI's function calling.
For your Alameda business.
Trusted by companies across the USA
A biotech operations lead near the Alameda Point corridor recently described her problem this way: her lab intake process ate three hours a day of a scientist's time, mostly reformatting vendor data and chasing approvals over email. She didn't need a chatbot. She needed an agent that could read a request, call three internal tools, and only escalate to a human when something looked wrong. That's the kind of work an AI agent developer does, and it's different from hiring someone who has only built a basic OpenAI API wrapper around a support widget.
Alameda's economy leans on a mix of maritime and logistics operators tied to the old Naval Air Station redevelopment, a growing cluster of life sciences firms, and small manufacturers who never fully modernized their back office. Each of those businesses has a version of the same bottleneck: a person doing repetitive judgment calls that a well-built agent, with the right guardrails, can handle at a fraction of the cost. Function calling and tool use are what make that possible. Instead of a model that just talks, you get one that can query a database, trigger a shipment update, or draft a compliance note and hand it off for review.
We've built this kind of system enough times to know where it usually breaks. LangGraph gives you a way to model multi-step agent behavior as an actual graph instead of a fragile chain of prompts, which matters once you need retries, branching, or a human-in-the-loop step for anything touching money or regulated data. Vector databases come into play when the agent needs to reason over your own documents, whether that's shipping manifests, lab SOPs, or years of customer tickets, rather than hallucinating an answer from general training data. Python is the backbone connecting all of it, and honestly, most of the engineering time goes into the boring parts: logging, error handling, and making sure the agent fails safely instead of confidently wrong.
Our team operates out of Gandhinagar, India, and has for over a decade, working with clients across 20-plus countries without ever pretending otherwise. For a business in Alameda, that means a developer who's online and pairing with you during your morning hours through natural overlap, then continuing async through Slack and Loom recordings while your team sleeps. You get daily visibility through standups and a shared task board, and you own every line of code and every API key from day one. California businesses considering this model usually ask the same question early: does remote actually work for something as iterative as agent development. In our experience, it works better, because the handoff discipline it forces tends to produce cleaner documentation than a co-located team ever bothers writing.
We design for the failure cases first: what happens when a function call errors out or a vector search returns nothing useful. Alameda clients get systems that degrade gracefully instead of freezing mid-task.
Since 2015 we've run projects entirely remote, which means the async habits, documentation, and handoff routines are already second nature, not something we're improvising for your California team.
When an agent needs branching logic, retries, or a pause for human approval, a basic prompt chain falls apart. We've shipped LangGraph workflows that handle exactly that kind of complexity.
Every repository, API credential, and vector store instance stays in accounts you control, so there's no vendor lock-in if priorities shift down the road.
Our developers structure their day to cover your morning hours in Alameda, which keeps decisions moving instead of stalling for a full business day waiting on a reply.
From logistics to life sciences, we've hit enough different data messes to know which shortcuts actually save time and which ones cost you three months later.
One developer embedded in your team for the full month, best when you're building an agent platform rather than a single workflow.
A solid fit for a defined agent project, like automating one department's intake or approval process.
Useful for scoping work, code review, or fixing a stuck LangGraph pipeline before committing to a longer engagement.
For larger builds needing a developer plus a reviewer or data engineer, sized around your roadmap and budget.
We talk through what the agent actually needs to do, what data it touches, and where a mistake would be expensive versus merely annoying.
We propose a developer whose background fits your stack, whether that leans heavier on LangChain orchestration or raw Python and vector database work.
Access, repo walkthroughs, and a review of any existing prompts or tools happen in the first week, so nothing gets rebuilt from scratch unnecessarily.
We scope a narrow, testable first milestone, usually one agent task end to end, rather than trying to design the whole system before shipping anything.
Weekly demos, a shared backlog, and direct Slack access keep progress visible without requiring you to sit in on every line of code.
"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 automate and we'll set up a first conversation this week, no fixed-project commitment required.
For your Alameda, California business.