Realresultsfromrealteams

We get to the root of the problem, and then solve it delivering on the quantified benefits.

80% Less Time on Data Requests with Self-Learning AI

An enterprise insurance team was drowning in ad hoc data requests. A self-learning AI agent that writes its own SQL and Python code cut analyst time by 80% and gave non-technical users direct data access.

80%

Reduction in analyst time

Venture Capital

Automating Monthly Portfolio Reports for a VC Fund

A Taiwan-based VC fund's finance team spent hundreds of hours manually writing monthly reports for portfolio companies. An AI system now generates them automatically, matching the fund's format and tone.

100s

Hours saved per month

Sales

Querying Billions of Rows of LinkedIn Data in Seconds

An outbound agency needed to find ideal prospects across billions of LinkedIn records. BetterBrain built ML models that write and execute SQL from natural language, driving over $600K in revenue.

>$600K

Revenue in 6 months

Real Estate

Structuring Thousands of Files from Internal and External Sources

A mid-market real estate firm needed to enrich and structure data from thousands of files in different formats. AI agents using web search, enterprise search, and custom tools made previously impossible analysis routine.

1000s

Files structured automatically

Venture Capital

Enterprise Search for Faster Due Diligence

A VC fund needed to synthesise information from CRM, Airtable, Slack, and Google Drive for due diligence. Custom enterprise search surfaced long-forgotten insights that changed investment decisions.

10x

Faster due diligence

Financial Services

Combining Internal Knowledge with External Intelligence

A back-office services firm needed to search across CRM, Slack, Google Drive, LinkedIn, and the web simultaneously. A ChatGPT-style interface gave every employee instant access to collective intelligence.

Significant

Time saved searching

Non-Profit

Matching Mentors to Companies at Scale

A Latin American accelerator needed to match the right mentors to each company based on stage, geography, and industry. RAG-powered matching transformed how a 200-person team operates.

200

Team members supported

Banking

Source Attribution API for a Major Bank

A large bank needed to know exactly where its AI systems were finding information and whether it was accurate. A source attribution platform connected all data sources and traced every answer to its origin.

Trust

Built in AI systems

Venture Capital

Automating End-to-End VC Deal Screening

A UK venture capital firm needed to clean, deduplicate, and classify 30,000+ companies from PitchBook and other sources. Automated screening reduced manual processing by over 90%.

>90%

Less manual processing

Document Management

Automating Document Classification, Renaming, and Structuring

An enterprise document management team needed to classify, rename, and organise files at scale. AI replaced what previously required a multi-person full-time team.

Full team

Of manual work automated

Insurance

Processing Insurance Documents on AWS at Scale

An insurance enterprise needed to extract, classify, and structure data from thousands of policy documents. Built on AWS with OCR and NLP pipelines, the system cut processing time dramatically.

80%

Faster document processing

100%

of our implementations are in production or on track.

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