AI Advisory and Implementation

We deploy AI that delivers results in regulated industries.

Tractorbeam deploys end-to-end AI for organizations where data sensitivity, regulatory requirements, and complexity demand more than off-the-shelf tools. We identify where AI creates value, then build and deploy the systems.

The Problem

Real results require end-to-end ownership.

AI vendors sell platforms, not finished products. Their demos are impressive. They leave your team to figure out the hard parts: data integration, how people will actually use it, and the hundred decisions that determine whether a new tool gets adopted or abandoned.

Strategy consultants define the vision and leave you with a deck. The plan looks reasonable until you try to execute it. But by then, the team that wrote the recommendations has moved on to their next client and you're left holding the bag.

Development shops build exactly to spec. They implement what you ask for, but they don't understand your business well enough to know if it's the right thing to build. Projects ship features that don't move the needle.

Tractorbeam operates differently.

We combine strategic judgment with technical execution. The same senior team that assesses your opportunities architects the solutions and writes the code. No telephone game. We stay until the system is in production and your team can run it.

Our Approach

Strategy and implementation under one roof.

Most consultants define a vision and hand it off to developers who weren't in the room. We do both: we scope your project and build it.

Assess

3-4 weeks

Review your data, processes, and competitive position to identify where AI will actually save time or money or open up new revenue opportunities. You get a prioritized list of projects with feasibility, value, and ROI estimates.

Deliverables

  • AI readiness assessment
  • Opportunity assessment with ROI projections
  • Implementation roadmap

Build

3-6 months

Design, develop, and deploy production AI systems within your environment. Your team works alongside ours and learns to maintain the system.

Deliverables

  • Production-deployed system
  • Technical documentation
  • Training for your team

Accelerate

4-8 weeks

Pre-built tools for common tasks (due diligence, deal sourcing, reporting) configured for your environment. Faster and cheaper than custom development, already refined across multiple clients.

Deliverables

  • Deployed and configured system
  • Connected to your existing tools
  • Ongoing support and iteration

Services

End-to-end AI development for regulated industries.

Every phase of AI development, from initial strategy through production deployment. The full stack required to deliver systems that work in organizations where compliance and data security are non-negotiable.

Strategy

Strategy

We evaluate AI opportunities and identify what's worth building. We deliver technical due diligence and project plans with clear recommendations.

Foundation Models

Foundation Models

We select, fine-tune, and deploy language and vision models for your use cases. We ground architecture decisions in benchmarks and real-world performance.

Data

Data

We design data architectures and ETL pipelines that make machine learning possible. We clean and structure your data so models can use it.

Infrastructure & MLOps

Infrastructure & MLOps

We handle deployment, monitoring, and scaling to keep your AI running reliably in production.

Product Design

Product Design

We design AI interfaces around how your team works. We observe workflows and build tools that fit existing habits.

Governance

Governance

We build documentation, audit trails, and access controls that satisfy compliance teams and auditors.

Technology

Built on infrastructure you already trust.

We've shipped production systems with all of these, and we deploy directly into your existing cloud.

OpenAI
OpenAI
Anthropic
Anthropic
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Databricks
Databricks
Python
Python
Docker
Docker
TypeScript
TypeScript
Rust
Rust
Axum
Axum
Effect-TS
Effect-TS

Industries

Deep expertise in regulated, data-sensitive industries.

Our clients can't just move fast and break things. Compliance and auditability are requirements, not nice-to-haves. We know how to build systems that satisfy auditors and legal teams. But we also know when to build a prototoype.

Private Equity

Buyout, growth equity, and credit funds. We build tools for deal sourcing, due diligence automation, and portfolio monitoring that match how your team actually works.

Professional Services

Consulting, accounting, and legal firms. AI handles research, analysis, and report generation so your people can do more without hiring more.

Financial Institutions

Banks, asset managers, and insurance companies. Every system we build includes audit trails, access controls, and documentation that satisfies compliance teams.

About Us

Founded by operators who have built and shipped AI systems.

We started in 2024 building an AI platform for private equity associates. The idea: let analysts build their own AI workflows without waiting on IT. We raised a small round, signed beta customers, and started shipping.

The early use cases were simple: document parsing, summarization, comparison tables that used to take hours. The tools worked, and clients started asking for more. We built monitoring dashboards, sourcing pipelines, reporting systems. Each project took us deeper into how these organizations actually operated, but it also exploded our scope. We couldn't build a platform that would work for everyone.

That's when we realized something. The best organizations aren't defined by efficiency or hours saved. They're defined by the quality of decisions they make. The idiosyncrasies in their processes, the specific ways they evaluate opportunities, the institutional knowledge embedded in how they work: those are competitive advantages. A platform that standardizes workflows can't capture what makes each organization's approach valuable. It flattens the differences that matter most.

So we stopped building a platform and started building for specific clients. We became a startup-for-hire: a small team with the technical ability to ship production AI systems and the judgment to know what's worth building. We embed within your organization, learn how you actually work, and build tools that encode your advantages instead of erasing them.

We're based in Chicago. We're small and intend to stay that way. We hire engineers who understand both the technology and the business problem. We take on a limited number of engagements so we can do each one well. We'd rather build something that gets used than pad a portfolio with projects that get shelved after the handoff.

Careers

Join our team.

We're hiring engineers who want to own projects end-to-end. Every engagement is different, with real stakes and real data. If that sounds like your kind of work, reach out.

Working With Us

Frequently asked questions