Service

Generative AI

Design and deploy generative AI systems that reason over your data, automate knowledge work, and deliver grounded, verifiable results — built with Rust for production-grade performance and privacy.

Key capabilities

  • • Internal knowledge assistants grounded in your policies, SOPs, and documentation
  • • Retrieval-Augmented Generation (RAG) over enterprise content with hallucination controls
  • • Role-specific copilots for sales, HR, legal, procurement, finance, and operations
  • • Content generation systems for marketing, product descriptions, and email drafting
  • • Enterprise AI search across shared drives, cloud storage, and help centres
  • • Prompt engineering and evaluation frameworks for reliability and consistency
  • • Guardrails, access controls, and human review workflows
  • • Cost management and observability for production LLM usage

Overview

What is Generative AI?

Generative AI refers to systems — typically large language models and multimodal models — that can generate, summarise, classify, search, and reason over business information. Unlike traditional automation that follows fixed rules, generative AI understands context, produces original content, and adapts to new inputs without explicit programming for every scenario.

In practice, generative AI powers internal knowledge assistants that help employees find answers across thousands of documents, copilots that automate repetitive tasks in sales and operations, and content systems that draft marketing copy, product descriptions, and reports at scale. When built with proper guardrails, retrieval-augmented generation, and evaluation frameworks, these systems deliver accurate, auditable, and cost-effective results — not just prototypes, but production systems that teams rely on every day.

Generate

Create text, summaries, code, and structured outputs from your data — grounded in your content, not generic internet knowledge

Reason

Answer complex questions by retrieving, combining, and reasoning across multiple documents, policies, and data sources

Integrate

Connect into existing workflows via APIs, chat interfaces, Slack bots, and embedded widgets — no rip-and-replace required

Services

What We Offer

Every generative AI system we build is tailored to your data, your workflows, and your compliance requirements. These are the core capabilities we deliver.

🧠

Internal Knowledge Assistants

Let employees ask questions in natural language and get grounded answers from your policies, SOPs, product documentation, and internal knowledge bases. Every response cites its sources, and access controls ensure users only see content they are authorised to view.

🔗

RAG Systems Over Company Documents

Retrieval-Augmented Generation connects LLMs to your enterprise content — PDFs, wikis, databases, and cloud storage — so answers are grounded in your data. We tune chunking strategies, embedding models, and re-rankers to maximise retrieval precision and minimise hallucinations.

👤

Role-Specific Copilots

Build specialised assistants for sales, HR, legal, procurement, finance, and operations teams. Each copilot understands the domain vocabulary, workflows, and data sources relevant to that role — reducing friction and accelerating decision-making.

✍️

Content Generation Systems

Automate drafting of marketing content, product descriptions, email campaigns, social posts, and internal communications. Templates, brand guidelines, and tone controls ensure output is consistent and on-brand. Human review loops provide quality assurance where needed.

🔍

Enterprise AI Search

Replace keyword search with semantic understanding across shared drives, cloud storage, help centres, and internal documentation. Users find what they need even when they do not know the exact terminology — and results include source citations and confidence scores.

📏

Prompt Engineering & Evaluation

Improve reliability, consistency, and quality through systematic prompt engineering, few-shot example selection, and automated evaluation pipelines. We measure accuracy, toxicity, alignment, and cost per query — and iterate until the system meets your bar.

🎧

Customer Support Automation

AI-powered support agents that resolve common issues, route complex cases to human agents, and maintain conversation context across channels. Built with retrieval-augmented generation over your knowledge base, product documentation, and support history. Measurable outcomes include faster resolution times, higher CSAT scores, and reduced support costs.

  • • Multi-channel — chat, email, Slack, and API
  • • Seamless escalation to human agents with full context
  • • Sentiment analysis and conversation quality monitoring
📄

Document Processing & Analysis

Extract, summarise, and classify information from contracts, reports, invoices, and forms. Systems handle PDFs, scanned documents, and structured data — surfacing insights that would take teams hours to find manually. Built with vision-language models for document understanding and structured extraction pipelines.

  • • Contract clause extraction and risk flagging
  • • Invoice data capture with validation rules
  • • Report summarisation with source citations
📊

Sales & Revenue Enablement

Equip sales teams with AI that drafts proposals, prepares meeting briefs, surfaces account intelligence, and suggests next-best actions. Copilots integrate with CRM data, product catalogs, and historical win-loss analysis to deliver relevant, timely support.

  • • Automated proposal and RFP response drafting
  • • Pre-meeting briefs with account insights
  • • Deal risk scoring and next-action recommendations
⚖️

Compliance & Policy Automation

Help employees and compliance teams navigate regulatory requirements, internal policies, and industry standards. Systems answer policy questions, flag potential violations, and automate compliance reporting — with full audit trails and version-controlled knowledge bases.

  • • Policy question-answering with citation trails
  • • Automated compliance checks on business processes
  • • Regulatory change monitoring and impact analysis