LangChain Development Services
When operations teams wait days on engineers to answer routine data questions, decisions stall. Kodexo Labs builds LangChain systems that read plain-English questions and answer them from live production databases. Extensiv's team now answers its data questions at 90%+ accuracy across 207 tables.
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TRUSTED BY ENTERPRISES
We've shipped these systems for logistics, automotive, and franchise operators who needed answers without filing an engineering ticket. Here's where our LangChain work focuses when your business data sits locked behind technical gatekeepers:
Our Core Capabilities
Framework Integration: wire LangChain into your current stack and databases.
RAG Pipelines: retrieval that grounds answers in your real documents.
Agent Orchestration: multi-step agents that plan, act, and finish tasks.
Tool and Function Calling: agents that trigger your real systems.
Observability and Evaluation: trace every step, measure real answer accuracy.
Self-Hosted Deployment: run everything inside your own private secure cloud.
IN THE NEWS
AI-powered products
Top-Rated
Client retention rate
Expert team
LangChain Development Services Built for Production
Most AI projects stall between a promising demo and something your team can depend on. These are the LangChain builds we ship into production, each measured against real accuracy numbers before your operations team touches them.
Framework Integration & Migration
Moving from a prototype notebook to a system your team trusts takes engineering. We connect LangChain to your existing data, tools, and stack.
We look at each tool you run today and then plug it in fast.
We move your old demo code into a build your team can run daily.
Ready to Put Your Data Within Everyone's Reach?
Your operations team should not wait days for an engineer to answer a simple question. Just tell us where your data sits today.
Proof From Production Systems
Diesel Laptops
Fleet technicians spent more time hunting diagnostic records than fixing trucks. Kodexo Labs built an agentic search system that finds the right answer across 160,000+ records in seconds, cutting lookup time 85%. It runs in a self-hosted AWS VPC. This Inc. 5000 company now runs a self-serve search layer its technicians trust every shift.
85%
Faster Lookup
160,000
Records Searched
AWS VPC
Self-Hosted
Extensiv
At Extensiv, every routine data question meant waiting on the engineering team, and decisions stalled. Kodexo Labs built a LangGraph agent that turns plain-English questions into answers pulled straight from the live operational database. The ops team self-serves now at 90%+ accuracy across all 207 tables and 4 databases.
90%+
SQL Accuracy
207
Tables
04
Databases
IFPG
IFPG's chatbot handed prospects HTML-broken answers across 1,000+ franchise listings, so leads died at first click. Kodexo Labs rebuilt the reasoning layer with chain-of-thought prompting. HTML errors dropped to zero, a 100% fix, and answer accuracy climbed 85%. Today the largest franchise network in North America runs a reasoning system prospects can actually trust.
1,000+
Listings
85%
Accuracy Lift
Validation
Agent
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
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Every sector carries a bottleneck worth removing with agents
Every industry hides its own bottleneck. A lease review runs six hours. A single listing takes thirty minutes. LangChain agents built for your sector read the documents, answer the questions, and return lost time to your people.
Ready To Move Past The Demo Stage
Most agent prototypes never make it to production. The gap between a slick working demo and a reliable system is where projects quietly die. Closing that gap is the entire point of a serious LangChain engagement.
Security Your Compliance Officer Can Actually Sign Off On
Regulated data cannot leave your control. Healthcare agents ship HIPAA-compliant, matching the standards SmartMedHx required. When policy demands it, systems deploy inside your own private cloud, as Diesel Laptops runs on a self-hosted AWS VPC. Architecture is built to the standards your auditors expect.
SOC TYPE 2
ISO 27001
HIPAA
GDPR
CCPA
PCI-DSS
COPPA
NIST AI RMF
PCI-DSS
FERPA
SOC TYPE 2
ISO 27001
HIPAA
GDPR
CCPA
PCI-DSS
COPPA
NIST AI RMF
PCI-DSS
FERPA
Choosing an AI Partner Feels Risky When Most Demos Never Reach Real Production
You have seen prototypes stall before launch. The difference here is production discipline. Systems run live for named clients, backed by a PhD-level team that ships engineering, not slideware. Here is what sets it apart.
Scalable LangGraph Orchestration
Enterprise buyers want proof agents hold up under load. Extensiv (Inc. 5000, $130M+ backed) runs LangGraph agents that resolve complex requests reliably built for messy production conditions.
RAG Pipelines Grounded in Data
A model that invents answers destroys trust fast. RAG grounds every response in your real business records, so your team can act confidently. For IFPG, accuracy rose 85% across 1,000+ listings.
Discovery Sprint Before Commit
Signing a large build before anyone understands your data is how projects fail. Every engagement opens with a scoped sprint mapping your systems and testing feasibility on real questions first.
PhD-Level AI Leadership
Most agencies staff junior generalists and hope for the best. This work is led by a PhD-level team with multiple offices across the globe. A 94% retention rate reflects teams that stay and ship.
Still Waiting Days on Engineering for a Simple Data Answer?
Every day a decision waits on a busy engineer, momentum slips. A short conversation shows what agents could answer directly from your systems. Bring your hardest data questions and see a working path.
Awards and Recognition
Third-party reviewers rank the work, not marketing. Clutch and Upwork evaluations reflect verified client feedback, so these badges signal outcomes that real buyers reported after real production engagements.
Overcoming Common LangChain Development Challenges Today
Most agent projects stall after the demo. What works in a controlled test collapses once real users, messy data, and unpredictable edge cases arrive. These three failure points sink more LangChain builds than any other, and each has a fix.
The LangChain Stack We Build On Body
Every engagement runs on proven tooling, chosen for reliability in production rather than novelty on a slide.
How A LangChain Engagement Actually Comes Together
Discovery & Architecture Sprint
We map your use case, data sources, and success metrics in week one. You leave with a concrete architecture diagram, a scoped feature list, and honest answers about what LangChain can and cannot do here.
Framework Integration
Next we wire LangChain into your stack: authentication, APIs, and databases. We build the retrieval layer that connects your documents, records, and knowledge bases to the model, then validate every connection against real data.
Agent/RAG Pipeline Build
This is the core build. We construct the agent logic, prompt chains, and RAG pipeline that answer questions grounded in your data. Tool calling, routing, and memory come together into a working flow you can test.
Evaluation & Hardening
Before anything ships, we measure it. LangSmith traces every run, evaluation datasets score accuracy, and we harden the system against edge cases, bad inputs, and failure modes until results hold up under pressure.
Deployment & Handoff
We deploy to your environment, whether AWS VPC or self-hosted, with monitoring and dashboards in place. Then we hand over documentation, runbooks, and training so your team owns and extends the system confidently.
Insights From The Kodexo Labs Team
Top 10 AI Integration Companies to Watch in 2026
April 2026 · By Kodexo Labs
Profiles of the top 10 AI integration companies in 2026, ranked by verified delivery track record, validated client outcomes, technical depth, and value proposition — with every metric sourced from Clutch reviews, published case studies, confirmed contract values, and third-party platform ratings.
AI in Adaptive Learning: Benefits, Challenges, and Best Practices for 2024
November 2024 · By Kodexo Labs
A practical guide to AI in adaptive learning, covering benefits, challenges, platforms, ROI, and best practices for personalized education in 2024.
Top 10 AI Chatbot Development Companies in 2026 [Expert-Evaluated]
April 2025 · By Kodexo Labs
List of the top 10 AI chatbot development companies in 2026, evaluated across 47 firms using verified Clutch and G2 data, weighted scoring across technical expertise, client outcomes, compliance certifications, and 2026-ready technologies like agentic AI and RAG.
LangChain Development FAQs
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