
How do you get there?
We always start with the problem, not the tech. The key to success is staying focused on developing solutions, not trying to force-fit AI to everything.
A five-step process to take you from prototype to product.
01—Determine if AI is the right tool
Before you spend time or money building anything, we help you answer the first—and most important—question: Is this even an AI project?
In a free 30-minute consultation, we’ll dig into your business goals and the problem you’re trying to solve.
02—Discovery & Scoping
With the problem defined, we run a focused planning and discovery sprint to map the path forward.
Over one to two weeks, we’ll work with your team to understand your goals, audit current tools and processes, align on the technical approach, and develop a phased scope with deliverables and estimated costs.
03—Proposal and Plan Sign Off
With the scope defined, we prepare a detailed proposal covering the work, timeline, costs, and phased deliverables. This ensures everyone is aligned on exactly what’s being built, how it will be delivered, and what success looks like.
Our goal is move into the build with a shared understanding and clear expectations.
04—Build with You, Not for You
Once the plan is in place, we start building—but you’re never left in the dark. We run an agile process with frequent check-ins, clear project management, and transparent progress updates.
You’ll see working versions early, give feedback often, and know exactly where things stand. By the time we launch, nothing is a surprise—except how smoothly it all came together.
05—Deploy, Monitor, Optimize...
Launching is just the beginning. Once your solution is live, we track how it performs against your goals, measure real-world impact, and identify areas for improvement.
Our team stays as engaged as you want, to update automations, and adapt to changing business needs—so your investment keeps delivering value long after launch.
AI development in practice
No canned solutions. Custom implementations to meet your requirements.
Project Examples
Meeting-to-Content Pipelines
Connect meeting transcripts, structured databases, and content tools to streamline editorial workflows. Drastically reduce the time it takes ideas to move from conversation to on-brand article drafts—consistently.
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Michael T.
Aspiring Developer
Investment Due Diligence Pipelines
Transform unstructured sources—DDQs, pitch decks, manager letters, calls, and meeting notes—into structured, consistent documentation. Automate IC memos, trackers, and fund summaries to reduce manual prep and spend more time on analysis.
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Document Preprocessing
Convert PDFs and scanned files into structured, AI-ready data. Handle OCR, parsing, chunking, and formatting to power accurate search, retrieval, and downstream automations.
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Full-Service Expertise Across Strategy, Data Science, Engineering, and Marketing
Let's build a winning AI strategy together
1
Strategy & Advisory
We help you develop a clear path forward—whether you’re exploring AI, making data-driven decisions, or rethinking your technology stack. That means honest assessments, practical roadmaps, and guidance you can act on right away.
Examples:
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AI readiness and opportunity assessments
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Technology audits and vendor evaluations
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Data strategy aligned with business priorities
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Roadmaps with phased implementation plans
2
Data Science & Machine Learning
We turn complex data into clear, actionable insights. That might mean finding and extracting the right information, shaping it into usable formats, and/or weaving it into your workflows. Our focus is on solving problems efficiently, whether that involves statistical analysis, automation, or applied machine learning.
Examples:
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Extract and structure data from fragmented systems
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Create features, embeddings, and indices for smarter tools
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Apply pre-trained models for classification, forecasting, or anomaly detection
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Integrate AI outputs into tools your teams already use
3
AI & Automation
We help you identify the best opportunities to use AI—from repetitive tasks to complex workflows—and implement AI tools that actually deliver value. We use off-the-shelf, custom, or hybrid solutions depending on your needs, with a focus on reliability and measurable results.
Examples:
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Automate document review, data entry, and reporting
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Build AI assistants to handle customer or employee requests
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Creating end-to-end content creation systems
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Set up monitoring and safeguards for automated processes
4
Engineering & Architecture
AI is only as useful as your ability trust it. We design and build the infrastructure to make that possible—pipelines, storage, and systems that are secure, scalable, and aligned to your business goals.
Examples:
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Build pipelines to collect and clean data from multiple sources
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Consolidate data into a single, trustworthy view
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Set up cloud or on-premises architectures for performance, security, and cost efficiency
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Implement governance and security frameworks
5
Product Development
We help you move from idea to production with clarity and speed. That includes defining requirements, designing user experiences, building, and shipping—always with an eye toward maintainability and integration with your existing systems.
Examples:
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Rapid prototyping to validate concepts before heavy investment
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Full-stack application development
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API and system integration for new products
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Ongoing support and iteration after launch
6
GTM & Product Marketing
We can help you plan to launch AI initiatives and products. Our team supports market positioning, messaging, and launch planning so your product or service finds traction quickly.
Examples:
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Define positioning and messaging for your audience
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Develop launch plans and timelines
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Create sales enablement and training materials
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Identify and activate the best distribution channels

Targeting High-Impact Business Areas
What can AI actually do?
There's a lot of hype about AI capabilities. We help partners identify where AI genuinely works and avoid the costly mistakes that create failed projects. AI can feel like magic—when you know where to apply it.








