AI Agents &
AI-Powered Search

Put AI to work on real business tasks. We build agents that take action across your systems and search that finds answers across everything you know.

Atlassian
AWS
Cloudera
Eventbrite
Formpipe
IBM
Informatia
Leapwork
LinkedIn
Microsoft
Odoo
Salesforce
SAP
Sprinklr
Temenos
Upwork
Zoom
Atlassian
AWS
Cloudera
Eventbrite
Formpipe
IBM
Informatia
Leapwork
LinkedIn
Microsoft
Odoo
Salesforce
SAP
Sprinklr
Temenos
Upwork
Zoom

Answers and actions, grounded in your data

Generic AI does not know your business. We build agents and search experiences that are connected to your documents, databases, and tools, respect your permissions, and cite their sources, so people can trust them and use them every day.

We start with a focused, measurable use case, prove the value, and then extend the agent's tools and knowledge with clear guardrails.

Multi-StepTask Automation
CitedGrounded Answers
Permission-AwareSecure Retrieval
Human-in-LoopWhere It Matters

Our Service Specializations

Full-cycle engineering expertise to deliver robust, high-performance technology systems that solve complex enterprise challenges.

Task-Automating AI Agents

Agents that plan and carry out multi-step work, such as triaging requests, updating records, drafting replies, and escalating exceptions.

Enterprise AI Search

Natural-language search across your documents, wikis, tickets, and databases that returns direct answers with sources.

Conversational Assistants

Internal and customer-facing assistants grounded in your own knowledge base rather than generic model answers.

Tool & System Integration

Agents connected to your CRM, ERP, ticketing, and email through secure APIs, with each action logged and reviewable.

Knowledge Pipelines (RAG)

Ingestion, chunking, embedding, and retrieval pipelines that keep the assistant's knowledge current with your source systems.

Guardrails & Governance

Permission-aware retrieval, human approval steps, audit trails, and evaluation suites so agents stay accurate and within bounds.

Modern Tech Stack

We select languages, protocols, and cloud environments optimized for fast iterations, tight security architectures, and long-term stability.

Foundation models and orchestration libraries used to build reasoning and tool-using agents.

Claude / OpenAI / GeminiFoundation Models
LangChain / LangGraphAgent Orchestration
LlamaIndexData & Retrieval
Model Context ProtocolTool Connectivity
Open-Source LLMsSelf-Hosted Options

Our Delivery Process

A structured, highly transparent design and build lifecycle ensuring you see operational progress in real time.

01
PHASE 01

Use-Case Discovery

We identify high-value tasks and questions, define success measures, and check data readiness and risk.

02
PHASE 02

Data & Knowledge Prep

We connect sources, clean and structure content, and build the retrieval layer with proper access controls.

03
PHASE 03

Agent Design & Build

We design prompts, tools, and workflows, then build the agent with human-approval points where they matter.

04
PHASE 04

Evaluation & Red-Teaming

We test against real scenarios, measure accuracy, and probe for failure modes before anything goes live.

05
PHASE 05

Launch & Improve

We deploy with monitoring and feedback loops, and refine the agent using real usage data.

Our Solutions in action

Enterprise Knowledge Search for a Distributed Support Team
Support Operations Client
Support Operations Client Case Study

Enterprise Knowledge Search for a Distributed Support Team

We built an AI-powered search and answer assistant over a company's manuals, tickets, and internal wiki, with source citations and permission-aware results so agents find answers without escalating.

Answers in SecondsInstead of Manual Searching
Cited SourcesFor Every Response
Read Full Case Study

Service FAQs

Clear, direct answers regarding collaboration, pricing models, timelines, and post-launch maintenance.

A chatbot mainly answers questions. An agent can also take actions: it plans steps, calls tools like your CRM or ticketing system, and completes multi-step tasks, with the level of autonomy and human approval that you decide.

Ready to Put AI to Work?
Let's Scope Your First Agent

Talk to our AI engineers about a pilot: one use case, clear success measures, and a plan for safe rollout.