Gen AI, LLMs, RAG, agents, computer vision, voice, document intelligence, n8n, Apify, and automation — production systems that ship and scale.
Generate, ground, and review
"Drafted quarterly compliance summary with 14 citations across AWS & Salesforce records."
One conversation. Every action.
Automations that need attention
Interactive Demo
Select a real enterprise scenario and watch our autonomous multi-agent pipeline plan, retrieve, reason, and execute live.
PDF Ingested via webhook · Layout-aware OCR
Semantic search against Chart of Accounts (Cosine: 0.94)
Claude 3.5 / Gemini model router · Policy check
Post invoice to NetSuite & notify Slack #finance
[SYSTEM] Ingestion trigger received: INV-2026-089.pdf (142 KB)
[PARSER] 18 line items extracted with 99.8% bounding-box confidence.
[RAG] Querying vector index "VendorCorpus" -> Top-3 match: Vendor ID #4409.
[AGENT] Routing to NetSuite API connector via n8n node #12.
[GUARD] Verified: Zero PII leakage, budget threshold under $10,000 limit.
[STATUS] Ready to execute payload dispatch.Value Simulator
Adjust your team parameters to see the exact hours reclaimed and annual dollars saved with Balram Infotech AI.
Based on 65% automation rate across intake, document parsing, RAG search, and n8n tool calls.
Claim This ROI — Book Demo →• The Balram Way •
From scattered work to measurable impact — one intelligent operating system.
Documents, tickets, CRMs, data stores, and APIs land in one retrieval layer — with access control from day one.
Secure & reliable · 100%
LLMs with RAG, evals, and policy packs convert raw context into answers your teams can trust.
Tool-using agents plan, act, and hand off — with audit trails so operations stay in control.
Intelligence stack
The full model layer — generation, retrieval, evaluation, and agent loops in one operating system.
Gen AI
LLM
RAG
Agentic AI
LLM engineering
We route, evaluate, and — when it earns its keep — fine-tune. GPT, Claude, Gemini, open models: the cheapest accurate answer wins.
RAG
Chunk, embed, retrieve, cite. RAG is how we stop hallucinations — answers come from your PDFs, wikis, tickets, and Apify datasets.
Generative AI
Copilots for knowledge, documents, and customer work — brand-safe, reviewable, and grounded in RAG.
Agentic AI
Multi-step agents that call n8n, Apify, and your APIs — then stop and ask a person when confidence drops.
Automation stack
We design the pipelines that fetch data, decide, and act — visual workflows, web actors, and operational automation in one stack.
n8n
We build production n8n graphs — triggers, AI nodes, error paths, and human approval — so ops don’t live in a spreadsheet.
Apify Actors
Custom and Store actors for crawling, extraction, and monitoring — then hand clean datasets to n8n, RAG, and your LLMs.
AI automation
n8n runs the graph. Apify feeds the data. Agents decide. People approve the high-stakes steps. That’s automation you can operate.
New AI solutions
Beyond models and workflows — vision, voice, documents, and forecasts your teams can run every day.
Computer vision
Detect, classify, and extract from cameras, scans, and photos — then push events into n8n, RAG, and your ops stack.
Voice AI
Transcription, voice agents, and IVR that understand your domain — grounded in RAG, connected to the same tools as your copilots.
Document intelligence
Contracts, invoices, KYC packs, and SOPs — classified, extracted, compared, and routed. No more copy-paste desks.
Predictive AI
Demand, risk, churn, and capacity models — explained in language leadership can use, wired into the same Action Center.
Integrations
Connect the stack you already run. Unify every signal. Drive smarter AI decisions.
Workflows and Actors as first-class connectors — not a side script.
Context streams in continuously — no manual exports, no stale copilots.
Least-privilege access with audit logs and scoped tokens.
Built for every team
Gen AI, agents, automation, and LLMs — assembled so each team sees leverage, not another tool.
OPERATIONS
ENGINEERING
LEADERSHIP
Trust & security
Your data. Your systems. Your control.
Ingestion via scoped APIs. No silent writes unless you approve an action.
Deploy beside existing cloud, SaaS, and on-prem sources — no rip and replace.
Access by team, use case, and data surface. Audit every generation and tool call.
Policy packs, PII filters, and human handoff on low-confidence work.
Industries
Same platform. Different playbooks. We deploy RAG, agents, and automation for the work each industry actually runs.
Policy Q&A, KYC intake, and agent-assisted ops with audit trails.
Appointment intake, document intelligence, and retrieval over approved corpora.
Catalog intelligence, order workflows, and n8n-connected operations.
SOP copilots, vendor portals, and shop-floor exception routing.
In-app help, Slack copilots, and ticket deflection with citations.
Citizen FAQs, form filling, and multilingual knowledge assistants.
FAQ
What teams ask before they put Gen AI, agents, and LLMs into production.
Production systems across Gen AI, RAG, LLMs, agents, n8n, Apify, and automation — copilots and workflows your teams can operate.
No. We wire models to your data, tools, and review loops. RAG retrieves from your corpus, agents can run n8n actions, and people stay in the loop with full context.
Yes. We design n8n workflows, publish or customize Apify Actors for crawling and extraction, and wire both into agents, RAG, and your ops tools.
Yes. Connectors sit on top of Azure, AWS, GCP, Salesforce, ServiceNow, n8n, Apify, databases, and document stores. We start from the stack you already have.
Computer vision, voice AI, document intelligence, and predictive models — all wired into the same n8n, Apify, and agent stack so they can take action, not just score a dashboard.
RAG first: retrieve from your corpus with citations. Then model routing, evals, and fine-tuning only when retrieval is not enough. Hallucinations get treated as product bugs, not personality.
Least-privilege access, citations, evals, and human-in-the-loop on high-stakes actions. Nothing “autonomous” without a policy you signed off on.
Book a demo
Share the process you want to improve. We’ll come back with a tailored roadmap across Gen AI, agents, automation, or LLMs.