alkemy

The first AI purpose-built for consulting firms. Never rebuild what you've already built.

The Problem

Nitesh spent a year at Roland Berger. Every project started the same way: hunting through SharePoint for slides he knew existed. Sometimes he'd find them after 2 hours. More often, he'd give up and rebuild from scratch.

This isn't a Roland Berger problem. It's an industry problem.

• 25% of analyst time is spent hunting old slides
• 30% of consulting work is reusable, but unfindable
• When senior people leave, their knowledge leaves with them
• Boutique firms are sitting on 10-20 years of IP they can't leverage

McKinsey solved this internally with Lilli. BCG built Deckster. But the 50,000 boutique consulting firms? They're still drowning in SharePoint.

The Unlock

For the first time, LLMs and VLMs can read slides, understand them, and extract structured meaning economically. A 100-slide deck that cost $500 in human time to catalog now costs $0.50 in API calls.

That's a 1000x cost reduction.

This unlocks a new category: AI-native knowledge infrastructure for consulting.

The Solution

alkemy is the first AI purpose-built for consulting firms.

We start with M&A company research—a painful, manual process that costs firms $5K per project. Our tool does it for $0.50 per company (40x cheaper). This gets us in the door without touching confidential data.

Once we've proven value and earned trust, we expand to catalog their entire project history. Every slide, model, framework, and analysis—tagged, indexed, and instantly queryable.

The end state: alkemy becomes the knowledge layer that powers everything. AI assistants, research agents, presentation builders—all drawing from the same institutional memory.

The Wedge → Expand → Platform Motion

| Phase | Focus | Value | |-------|-------|-------| | Wedge (Now) | M&A Research Tool | No confidential data, $0.50/company, immediate ROI | | Expand (6-12 months) | Knowledge Catalog | Catalog all past projects, semantic search, 30 seconds vs hours | | Platform (18+ months) | Consulting Intelligence Layer | Context layer for all AI tools, agents use your IP |

Core Capabilities

Company Research & Qualification

Buy-side and sell-side M&A research. Analyze and qualify companies against given criteria. Additional attributes stored in structured formats, rendered beautifully in the UI.

Project Context

Dump any project files—client data, firm data, meetings, research—and alkemy turns them into structured, searchable knowledge. Each file gets relationships, semantic layers, and becomes instantly queryable. A much better version of NotebookLM.

Deep Research

Why alkemy's deep research is different:

1. Customized priorities - Tell the agent what matters most
2. Context-aware - Uses your project context to guide research goals
3. Persistent data - All scraped data is stored and accessible to future agents

Knowledge Management

• Ingest SharePoint and create relationships between project data
• For each slide, Excel, or PDF: build a semantic layer (action-title, subtitle, body, project, tags, dates, clients, industry)
• GraphRAG everything a firm has

The Moat

Once 10,000 slides are cataloged in alkemy, you can't leave. We become infrastructure. The switching cost is re-cataloging 20 years of work.

Plus: Data network effects. Every firm we catalog improves our extraction for the next. We learn consulting vocabulary, methodology patterns, deliverable structures.

What We Understand That Others Don't

"Consulting is vertical/industry focused. Clients trust firms in specific domains → more projects in that domain → similar projects → 30% of work is reusable. 25% of analyst time is hunting old slides. Knowledge lives in PM/Partner minds. The bigger and more niche the firm, the more reusable IP they have."

This is our edge. We understand the structure of consulting knowledge. Glean sees "files." Harvey sees "documents." We see project DNA.

Competitive Landscape

| Company | Vertical | Wedge | End State | |---------|----------|-------|-----------| | Hebbia | Finance/Legal | Doc Q&A via Matrix | AI Analyst | | Rogo | Investment Banking | Research automation | Full research platform | | o11 | Mid-market PE/M&A | Excel/PPT plugins | Deal execution OS | | OffDeal | SMB M&A | Deal sourcing | AI investment bank | | Glean | Generic enterprise | Search | Enterprise search | | alkemy | Consulting | M&A research | Consulting intelligence layer |

Key Differentiators

1. Purpose-built for consulting - Not generic enterprise search
2. Understands project structure - Verticals, methodologies, deliverable types
3. Security-first - Single-tenant, VPC, on-prem options
4. Wedge strategy - Start with M&A (no confidential data), expand to catalog

The Vision

alkemy is an operating system built for consulting firms. A platform where all client, firm, and project data lives securely, is accessible to AI agents, and creates a rewarding experience to work on.

In the long term, this replaces everything a consultant needs: slides, docs, worksheets, browsers, data storage, research, AI access.

The big problem we're solving: very smart people are wasting time doing very dumb things in consulting. Imagine all the Ivy League talent that could be solving real-world problems instead of hunting for slides. That's the problem alkemy exists to solve.