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AI & Automation

Supercharge Ops with
Production AI Agents

We integrate state-of-the-art LLMs, custom machine learning models, and automated cognitive workflows into your software. From RAG systems fetching documentation to autonomous agents triggering APIs.

4–8wks
Avg. Delivery
80%
Ops Time Saved
10M+
Tokens/Day
Data inputCSV · API · DBAI EngineProcessing…DecisionRoute · Alert · FlagAutomateEmail · Slack · DBInsightsTriggered3 actions
Tasks / day
12.4K
Time saved
68 hrs/wk
Error rate
0.02%
LLM-powered
No-code triggers
Slack · Email · DB
Real-time decisions
⏱️
Avg. Delivery Time
4 - 8 Weeks
🏗️
Models Supported
OpenAI, Anthropic, Llama 3
🛡️
Ops Time Saved
Up to 80% Automation
How We Work

From Idea to Live Product

A proven 4-phase delivery model that keeps you in control at every sprint.

1
Operational Pipeline Audit
Analyzing your support queues, logs, and sheets to identify high-return bottlenecks suited for AI agent automation.
2
Vector DB & Prompt Scoping
Setting up data pipelines, chunking policies, vector indexes (Pinecone/Chroma), and system prompts.
3
Agent Integration Sprints
Developing fail-safe loops, integrating tools execution (APIs, DB calls), and building verification interfaces.
4
Performance Evaluation & Launch
Testing prompts for bias, tuning LLM temperatures, optimizing token usage costs, and deploying to cloud infrastructure.
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Operational Pipeline Audit

We audit your business processes, scan ticket histories, and identify manual labor choke points where LLM routing offers the highest return.

Process AuditsBottleneck SearchROI ScopingSecurity Mapping
Automation Map100%
Data Flow Specs100%
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Vector DB & Prompt Scoping

Configuring vector indexes (Pinecone/Chroma), building semantic chunking pipelines, and setting prompt guardrails.

Semantic ChunkingPinecone IndexingGuardrail SetupPrompt Tuning
Vector Indexes85%
Guardrail Config75%
Agent Integration Sprints

We build self-correcting agent chains, write custom API tool calls, and wire Slack or web chat entry interfaces.

LangChain ChainsTool Call APIsSlack IntegrationEvaluation Loops
Agent Pipelines60%
Tool Connectors55%
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Performance Evaluation & Launch

Simulating user queries, optimizing token consumption costs, testing prompt vulnerability, and launching serverless pipelines.

Token OptimizationSafety EvalServerless DeploymentLive Monitoring
Latency Target92%
Safety Score96%
Capabilities

What We Actually Build

Retrieval-Augmented Generation (RAG)
Build smart QA bots that access your secure database tables, wikis, and guidelines with zero hallucinations.
Autonomous Work Agents
AI agents that can trigger REST requests, update ticket states, scan logs, and send emails autonomously.
Cognitive Document Analysis
Automated OCR extraction pipelines scanning invoices, shipping bills, and complex contracts in seconds.
Advanced Semantic Analytics
Deep sentiment audits, clustering engines, and text summarization flows sorting high-volume feeds.
Model Fine-Tuning Labs
Adapting open-weight models (Llama 3/Mistral) on your company parameters for fully private deployments.
Technology Stack
OpenAI APILangChainPythonLlama 3PineconeChromaDBFastAPIAWS LambdaHugging FaceMistralDocker
Typical Project Timeline
Pipeline AuditWk 1
Prompt EngineeringWk 2
Agent SprintsWk 3–6
Accuracy TestingWk 7
Production ReleaseWk 8
⭐ Success Spotlight

Customer Support Automation Redefined

Deployed an advanced RAG support assistant connected directly to Zendesk and company databases. The agent scans customer histories, executes data lookups, and replies instantly to queries. Support resolution delays dropped from 4 hours to 30 seconds.

Result Achieved
74%
Tickets Auto-Resolved — without human intervention
Resolution Speed
<30s
Customer response delay reduced from 4 hours
Cost Reduction
60%
Customer support operation cost saved through automated tier-1 help
Service Inquiry
Kickstart Your AI & Automation Project

Tell us about your requirements below. Our design architects and lead engineers will review and send you a technical roadmap within 24 hours.