← What We Build / Enterprise Solutions

Custom AI, engineered to run at scale.

From strategy to production deployment. We build autonomous agents, RAG systems, conversational AI, custom AI products, and the data infrastructure that makes them reliable. Shipped by senior engineers — not prompt tinkerers, not offshore delivery pods, not template resellers.

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✓ Senior engineers ✓ Production AI shipped ✓ SOC 2 compliant ✓ Enterprise integrations
What We Actually Build

Not AI demos. Not AI pilots that never ship. Production AI systems.

Every enterprise we've talked to has a stack of AI pilots that died on the whiteboard. Slideware. Proofs-of-concept that never made it through security review. Consultant reports that cost six figures and produced a PDF.

We don't do that. KATEK is an engineering team that ships production AI systems — designed, built, deployed, and operated for real business use. Our output isn't a report. It's working software.

We don't compete with McKinsey. We compete with your alternative of building an internal AI team from scratch — and we deliver faster, cheaper, and with more production experience.

Built For

If any of these sound like you,
let's talk.

Enterprise

You have budget, stakeholders, and a mandate to ship AI.

But your internal team is stretched, external vendors are either too junior or too slow, and compliance eliminates half the market. We work with your team as an embedded engineering partner — senior engineers shipping production AI under your governance.

High-Growth

AI is central to your edge — but you can't hire fast enough.

You're growing fast and every week without shipping is revenue to a competitor. We embed with your team. We accelerate. We build the AI systems that keep you ahead while your hiring catches up.

Complex Operations

You're too specialized for off-the-shelf tools.

High volume. Multi-stakeholder workflows. Bespoke data pipelines. Specialized compliance. We architect, build, and deploy custom AI infrastructure that fits your business — not the other way around.

The Six Core Services

Six services. One team. Shipped end-to-end.

Each service stands on its own — and most engagements combine several. We scope based on your needs, not a packaged bundle.

01 / AI Strategy Development

Before we write code, we figure out if it's the right code.

Most AI projects fail before a single line of code is written — because nobody mapped where AI actually creates business value vs. where it's just a shiny object. Our strategy engagement starts with a full operational audit: where's the friction, where's the opportunity, what's the ROI, what's the phased rollout that de-risks the whole thing. You walk away with a system blueprint, not a slideshow.

What you walk away with: AI opportunity map, system blueprint, phased roadmap, ROI prioritization matrix.
Capabilities
Operational audit and opportunity mapping
System architecture and technical blueprint
Phased roadmap with clear ROI and risk prioritization
Build vs. buy vs. partner analysis
02 / AI Agent Workflows

AI that takes action. Not AI that generates responses.

We design, build, and deploy AI agents that don't just answer questions — they execute work. They read data, make decisions, trigger actions across your systems, handle edge cases, and escalate to humans when judgment is needed. Multi-agent orchestrations for complex workflows. Single-purpose agents for specific operations. All production-grade, all observable, all under your governance.

What you walk away with: Working AI agents deployed in your environment, executing real work, fully monitored and controlled.
Capabilities
Multi-agent system design (specialist agents coordinated by orchestrators)
Tool-using agents integrated with your internal systems
Production-grade observability (logs, traces, failure recovery)
Human-in-the-loop patterns for high-stakes decisions
03 / RAG AI Development

Give your AI access to your real business context. So it stops guessing.

Retrieval-Augmented Generation (RAG) is how AI stops making things up. We build custom retrieval systems that ground AI responses in your actual data — your SOPs, contracts, technical docs, client records, product knowledge base — so every answer is accurate, traceable, and based on what your business actually knows. Not what a base model guessed.

What you walk away with: Production RAG system grounded in your data, with accurate, cited, explainable AI responses — deployed and integrated.
Capabilities
Vector database design and deployment (Pinecone, Weaviate, Qdrant, custom)
Document pipelines: ingestion, chunking, embedding, indexing
Hybrid search (semantic + keyword + metadata filters)
Citation and source attribution (every answer traceable)
04 / Conversational AI

AI that talks to your customers. And takes action for them.

We build conversational AI across every channel your customers actually use — web chat, WhatsApp, voice, SMS, Instagram DMs, email. Not templated chatbot flows. Real context-aware conversations that understand intent, hold multi-turn dialogue, and take action: schedule meetings, process requests, update records, escalate to humans when needed. Your brand voice. Your business logic. Your customer experience — elevated.

What you walk away with: Production conversational AI deployed across your channels, trained on your brand voice, integrated with your systems.
Capabilities
Omnichannel deployment (web, WhatsApp, SMS, voice, social, email)
Voice AI with sub-200ms latency for natural conversation
Multi-turn context retention across sessions
Action-taking integration with your CRM, scheduling, and backend systems
05 / AI Product Development

Turn AI capability into a product. A real one.

You have a proprietary capability, a unique dataset, or a customer problem that AI can solve — and you want to package it as a SaaS product, an internal platform, or a client-facing system. We do rapid sprint execution: MVP in weeks, not quarters, with production-grade architecture from day one. Scalable infrastructure. Real user testing. Revenue-generating outcomes.

What you walk away with: A launched AI product — SaaS tool, internal platform, or client-facing system — with the infrastructure to scale it.
Capabilities
AI-native product architecture and engineering
Rapid MVP development (4–8 week sprints)
Full stack: frontend, backend, data, AI, infrastructure
Launch support and iteration based on real usage data
06 / Data & LLM Engineering

The foundation that makes AI actually work in production.

The difference between AI that demos well and AI that runs reliably at scale is the infrastructure beneath it. We build data pipelines, vector databases, LLM integrations, observability tooling, and the deployment architecture that turns AI experiments into production systems. If your AI works in the demo but breaks in production, this is the service you need.

What you walk away with: Production-grade AI infrastructure — reliable, observable, cost-controlled, scalable.
Capabilities
Data pipelines (ETL, streaming, event-driven)
Vector databases and semantic search infrastructure
LLM integration (OpenAI, Anthropic, open-source, custom models)
Production observability (logging, tracing, cost monitoring, failure recovery)
Additional Capabilities

Specialized systems when you need them.

Most engagements focus on the core services above. When a project needs a specialized system, we build those too.

Application Products · 9 systems
AI Course Creator
AI-generated courses, learning paths, student management. Build training in hours.
Website AI Assistant
Lead capture, Q&A, handoff to humans, direct CRM actions. Trained on your content.
Onboarding Assistant
Guided flows with completion tracking and drop-off recovery.
AI Email Automation
Inbox triage, intent classification, auto-drafted replies, CRM sync.
Omnichannel AI Support
Unified AI support across web chat, WhatsApp, Facebook, Instagram.
Voice AI Agent
Call answering, routing, appointment booking, and CRM logging. 24/7.
AI Sales Engine
Lead qualification, scoring, and auto-booking to your calendar.
Backend Automation
Workflow triggers, real-time system sync, event-driven actions.
AI Search + Discovery
Semantic search across your docs, products, or knowledge base.
AI Course Creator
AI-generated courses, learning paths, student management. Build training in hours.
Website AI Assistant
Lead capture, Q&A, handoff to humans, direct CRM actions. Trained on your content.
Onboarding Assistant
Guided flows with completion tracking and drop-off recovery.
Specialized Modules · 6 categories
Communication & Booking
WhatsApp Business Bot. AI Booking System. Conversational commerce.
Knowledge Systems
SOP Bot. Document Q&A. Secure, role-based, fully cited answers.
Document Intelligence
Structured extraction. Contract parsing. Form digitization.
Automation & Integrations
CRM automation. Custom API integrations. Two-way sync.
Analytics & Monitoring
AI performance insights. QA monitoring. Sentiment analysis.
Custom AI Systems
Fully tailored builds. Custom dashboards. Bespoke logic and permissions.
What Engagements Look Like

AI alone won't save your business. This will.

Anyone can plug into an API. Very few can design, engineer, and operate systems that actually work in your business. We're the second kind.

Case 01 — Multi-Agent System

Multi-agent system for high-volume operations

The challenge: A services organization processed thousands of inbound requests weekly. Human agents spent 60%+ of their time on routine classification and routing before the real work began.

  • Specialist agents for intake, classification, enrichment, routing
  • Human-in-the-loop for edge cases and high-stakes decisions
  • Full observability: traces, decision logs, escalation analytics
  • Phased rollout over 8 weeks

↗ 60–75% reduction in routine classification time.

AI AGENTSORCHESTRATIONDATA PIPELINEINFRASTRUCTURE
Case 02 — RAG Knowledge System

RAG system for knowledge-heavy business

The challenge: A professional services firm had 15+ years of institutional knowledge trapped in documents and heads. New team members took 6–12 months to ramp.

  • Document ingestion pipeline for their existing knowledge base
  • Custom RAG with semantic search, metadata filtering, full citation
  • Role-based access control for client confidentiality
  • Observability for quality monitoring and continuous improvement

↗ Ramp time cut 50–70%. Institutional knowledge preserved and searchable.

Case 03 — Custom AI Product

Custom client-facing AI product

The challenge: A scale-up had a proprietary dataset and a clear use case but lacked the engineering team to productize it. Every month of delay was market share handed to competitors.

  • Product architecture and technical design in 2 weeks
  • MVP built and deployed in 6 weeks (full-stack)
  • Production launch with real user testing and iteration
  • Ongoing engineering partnership as product scaled

↗ From concept to live product in 8 weeks.

Engagement Model

How we engage. How we ship.

Four phases. One team. No handoffs. No surprises.

We start here
01 / DISCOVER
Start with your business, not our capabilities.
Structured discovery: audit operations, understand constraints (regulatory, technical, organizational), identify highest-value opportunities, prioritize by ROI and risk.
⏱ 1–3 weeks
02 / DESIGN
Architect before we build.
System design docs, technical architecture, data flow, integration specs, phased rollout plan, success metrics. You review, approve, we move. No surprises.
⏱ 1–2 weeks
03 / BUILD & DEPLOY
Production standards from day one.
Senior engineers. Sprint-based delivery. No "we'll harden it later." Staged deployments, security review, compliance validation. Live when it's ready.
⏱ 4–16 weeks
04 / OPERATE & EVOLVE
We stay deployed with your team.
Ongoing operations, monitoring, optimization. Structured SLAs. Defined escalation. Direct access to the engineers who built the system — not a ticket queue.
⏱ Ongoing
FAQ

Questions about Enterprise Solutions

Book A Discovery Call →
How are you different from McKinsey, BCG, or Accenture?
We're engineers, not consultants. We ship working systems, not decks. Our engagements end with deployed production software — not a 200-page strategy document. If you need strategy + slideware, a Big 3 consultancy is right. If you need strategy that leads directly to shipped code, that's us.
Who actually builds the systems — senior engineers or junior offshore delivery?
Senior engineers. Every engagement is led by a senior architect who designs the system and a senior engineering lead who builds it. We don't use offshore delivery pods. You'll work with the same small team from discovery through deployment — and you'll know them by name.
Have you actually deployed AI systems at enterprise scale?
Yes. Production systems, real transaction volumes, real compliance constraints. The discovery call is where we discuss relevant engagements and, where appropriate, introduce you to reference clients.
What about compliance, security, and data handling?
We deploy under your governance. SOC 2 compliant engagement model. GDPR-aligned data handling. Flexible deployment: your cloud, private cloud, or on-premise for highly regulated industries. We've operated under HIPAA, PCI, and finance-industry frameworks. We don't sidestep your compliance requirements — we build within them.
What's the typical timeline for an enterprise engagement?
Depends entirely on scope. Strategy engagements: 2–4 weeks. MVP product development: 6–12 weeks. Production RAG or agent systems: 8–16 weeks. Multi-phase enterprise transformations: 6–12 months with early wins every phase. We scope tightly during discovery so you know exactly what timeline to expect before committing.
Can you integrate with our existing enterprise stack?
Almost certainly. We've integrated with Salesforce, HubSpot, SAP, Oracle, Microsoft Dynamics, Workday, ServiceNow, Snowflake, Databricks, and dozens of other enterprise systems. Custom integrations via API when needed. Tell us your stack on the discovery call — we'll confirm compatibility before anyone signs anything.
How is this priced?
Fixed-scope project pricing for most engagements. Monthly retainer for ongoing operations and evolution. Hybrid models for longer partnerships. No surprise billing, no change-order games, no scope creep extraction. Pricing is discussed transparently on the discovery call, documented in the SOW, and honored throughout the engagement.
What happens if we need to exit the engagement?
Clean handoff. All code, documentation, systems, and data remain yours. We document the architecture so your internal team can maintain or evolve it. We're not locking you in — we're building for you.
For technical evaluators — the engineering detail. (+)

Architecture Philosophy

We build AI systems that follow modern production principles: event-driven where possible, observable by default, containerized and horizontally scalable, secure by design.

Every system we build has: structured logging, distributed tracing, health checks, failure recovery, cost monitoring (critical for LLM systems), and versioned deployments. If it's running in production, you can see what it's doing — and why.

Security Model

  • SOC 2 Type II in progress (audit timeline available on request)
  • Encryption: AES-256 at rest, TLS 1.3 in transit
  • Role-based access control with granular scope enforcement
  • Comprehensive audit logging (every action, actor, timestamp)
  • Data handling: GDPR-aligned, right-to-erasure, data residency options
  • LLM data handling: self-hosted open-source models for data governance when needed

Reference Process

On the discovery call, we discuss relevant past engagements. Where appropriate and with client consent, we introduce you to reference clients — typically engineering leaders from organizations similar in scale and complexity to yours. This happens before any major commitment, not as a post-sale formality.

Primary Stack

  • AI models: OpenAI, Anthropic, open-source (Llama, Mistral), custom fine-tunes
  • Orchestration: n8n, custom workflow engines, LangGraph for agent systems
  • Vector databases: Pinecone, Weaviate, Qdrant, pgvector
  • Backend: Python (FastAPI), Node.js, serverless where it makes sense
  • Infrastructure: AWS, GCP, Azure — your cloud or ours
  • Observability: OpenTelemetry + custom AI-specific tooling

Enterprise Integrations

Salesforce, HubSpot, SAP, Oracle, Microsoft Dynamics, Workday, ServiceNow, Snowflake, Databricks, Gmail, Outlook, Google Calendar, Zoom, Slack, Teams, WhatsApp Business, Instagram, Twilio, AWS, GCP, Azure services, and dozens more. Custom integrations via API or event bus when needed.

Specific questions for the engineering team? Let's talk.

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