Generative AI grounded in your business context

Create, classify, summarize and retrieve information using approved business context, with source checks and human review where the stakes require it.

$240k+
Annual savings
Keeping Company month-end verification
Keeping Company case study
150+
Hours saved / month
Keeping Company verification
Keeping Company case study
95%
Time reduction
Keeping Company verification
Keeping Company case study
Draft-first
Human review retained
Now Actually weekly HR notes
Now Actually case study

Made AI and automation easy to understand and been a breeze to deal with. Couldn't recommend these guys enough.

Andrew Lawson

Andrew Lawson

Owner, SignsSA

Read the full story

Our
capabilities

Where generative AI helps, and how we keep answers grounded in approved sources and reviewed.

Purpose-built applications that use frontier models from OpenAI, Google, and Anthropic for your specific workflows. We build complete solutions around your operating context.

  • Custom prompt engineering
  • Fine-tuned model selection
  • User interface design
  • Backend integration

Knowledge management solutions that ground AI responses in your approved data. Get accurate, contextual answers based on your documents, not just general knowledge.

  • Document ingestion pipelines
  • Vector database implementation
  • Access, retention and supplier controls around approved data
  • Source citation and verification for accuracy

AI-assisted content generation, summarization, and reformatting at scale, with human review before anything ships. From marketing copy to technical documentation.

  • Bulk content generation
  • Style and tone consistency
  • Multi-format output
  • Human review workflows

Private deployments, data isolation, and access controls for sensitive environments. We design retention, access, and supplier terms around approved data use.

  • Private and self-hosted deployment options
  • Data encryption at rest and in transit
  • Audit logging and access controls
  • Named controls for the data in scope
Internal Knowledge Base

Internal Knowledge Base

Help your team find information faster. Our AI knowledge bases understand questions in natural language and surface accurate answers from your policies, documentation, and data, with links back to the source.

  • Natural language question answering
  • Multi-source document integration
  • Automatic content updates
  • Source attribution for trust
  • Slack and Teams integration
Customer Support AI

Customer Support AI

Intelligent chatbots that resolve customer inquiries, understand context, and escalate complex issues appropriately. Reduce support costs while improving customer satisfaction.

  • Multi-turn conversation handling
  • Product knowledge integration
  • Sentiment detection and escalation
  • Human handoff on escalation
  • Available across channels
Document Analysis

Document Analysis

Automated extraction, summarization, and insights from contracts, reports, and correspondence. Process thousands of documents in minutes, not weeks.

  • Contract key term extraction
  • Risk and obligation identification
  • Document comparison and analysis
  • Automated summarization
  • Custom taxonomy classification

Tools we use

The models and tooling we build generative AI on.

OpenAIClaudeGeminin8nMake.comPipedreamCustom CodeLangChainCrewAIPythonTypeScriptNode.jsFastAPIRedisApifyGoogle CloudAzureAWSVercelDocker
20 technologies

When to use this

01

Internal Knowledge Assistants

AI that answers employee questions instantly using company policies, procedures, documentation, and proprietary knowledge bases.

02

Customer Support & Chatbots

Intelligent conversational AI that resolves inquiries across channels, provides personalized responses, and escalates complex cases appropriately.

03

Document Intelligence & Analysis

Automated extraction, summarization, classification, and insight generation from contracts, RFPs, reports, and correspondence at scale.

04

Content Generation & Marketing

AI-assisted creation of marketing copy, product descriptions, email campaigns, blog posts, and social content aligned with brand voice.

05

Research & Synthesis

AI that reads through large volumes of documents, synthesizes findings, identifies patterns, and produces executive summaries or research reports.

From scope to scale

01

Assess

Use Case Identification

Evaluate your operations to identify high-impact generative AI applications with clear business value.

02

Prototype

Rapid Validation

Build Proof of Concepts to validate approach, accuracy, and user acceptance.

03

Productionize

Enterprise Deployment

Scale prototypes into production systems with proper security, monitoring, and reliability.

04

Refine

Continuous Improvement

Monitor performance, gather feedback, and iterate to improve accuracy and usefulness.

4 phases

Platforms and Partners

n8n
Make.com
LangChain
OpenAI
Google
Anthropic
Azure
AWS
Google Cloud
Vercel
Docker
Python

Questions about generative AI

We ground answers in your approved sources and keep the links to the evidence, so a person can check the basis. Where the stakes are high, a human reviews before anything is relied on.

Only after the use is approved and the environment, access, retention and supplier terms are appropriate. The OAIC advises against putting personal or sensitive information into publicly available generative AI tools.

Creating, classifying, summarizing and retrieving information from approved business context, with source checks and human review where the stakes require it.

Get in touch about Generative AI Solutions

Tell us the workflow. We will assess where generative AI helps and what it would take to run it.

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