Forward Deployed Automation & Technical Leadership
UNLOCK AUTOMATION AT SCALE
$200M+ in measurable revenue and cost impact
Delivered through automation systems built and operated inside large-scale technology organizations.
$200M+
Measured revenue & cost impact
$50M+
Yearly recurring costs automated
Since 2023
Forward deployed
Tech Leadership & Execution
Embed technical leadership and automated systems into your company.
Automation Systems
Systems that replace manual workflows and materially affect revenue, cost structure, and operating leverage.
Infrastructure & Systems Engineering
Reliable, scalable systems designed to support growth while controlling complexity and cost.
Applied AI & Machine Learning
Production ML systems embedded into real workflows, not experiments or demos.
Operator Leadership
Interim and fractional technical leadership during periods of growth, rebuild, or transition.
We stay close to execution until systems are live, adopted, and owned by the organization.
How We Engage
01
Diagnose
We start with your P&L, not your tech stack: a short assessment finds the workflows where automation moves real money.
02
Embed & build
Our engineers work inside your organization, building bespoke systems against your real constraints: data, tools, and team.
03
Ship & hand over
We stay close to execution until systems are live, adopted, and owned by the organization.
The Bottleneck Has Moved
AI has collapsed the cost of producing software. The moat that protected legacy SaaS is gone. Senior engineering judgment that understands how to leverage AI to produce software is more valuable than ever.
Two ways to invest in AI
AI Adoption
Use off-the-shelf AI tools, like ChatGPT.
Usefulness is limited to the company's existing tech infrastructure. The more outdated the infrastructure, the less useful the AI tools.
How most "AI integrations" are currently deployed, leading to seemingly little impact for the company.
Applied AI
Leverage AI tools to accelerate development of bespoke software and machine learning models — pricing engines, demand forecasting, internal process automation, etc.
The deployed product is the optimal technology stack for the company.
How the leading 20% of companies are concentrating investment.
Why Forward Deployment? Why Now?
Multi-billion dollar joint ventures between leading AI labs and private equity firms have made the same bet: forward deployed engineers deeply embedded within companies produce returns that off-the-shelf AI software cannot.
Black Osprey has been executing this model since 2023.
While vendor-led ventures are designed to push maximal usage of a single LLM provider, Black Osprey is vendor-agnostic. Every solution is tailored to the client's situation, built with cost and resource constraints in mind, and designed to adapt as the AI landscape shifts.
Track Record
Shipped an AI client management platform in 12 weeks. Produced a 32% conversion lift and a 40% reduction in agent administrative workload.
NATIONAL REAL ESTATE BROKERAGE
+32%
Replacing a 70MB Excel operating model with a database. Automating term sheet and memo generation across the deal pipeline.
PRIVATE CREDIT FIRM
Jack was the lead software engineer for the worldwide expansion of a retail website feature, Promise on Twister. Generated a measured $167M sales lift, over half the entire sales lift for the Delivery Experience organization in 2020.
+$167M
Jack increased profits by 107% of small landscaping companies by algorithmically optimizing the geolocation of customers by density.
+107%
Jack saved $50M in yearly recurring costs by automating customer service agents jobs.
$50M/yr
Lambert led data initiatives to offer new daily fantasy sports contests. Developed data pipelines and calculation engines to determine payouts to users, projected to substantially increase revenue for the company.
Lambert engineered the minting pipeline for the Decagon, a digital art collection with trading volume over 1,100 ETH (~$2.5 million). Built an art recommender using embeddings from a ResNet-50 neural net and vector database.
~$2.5M
Lambert worked in the front office of the New York Yankees. He identified players to potentially acquire from other MLB organizations and analyzed minor league statistics to target promising prospects.
Lambert was the founder and CTO of Point API. Built the entire foundation of the product and led its engineering team. Graduated from Y Combinator (YC) and was featured in Forbes and Product Hunt.
Lambert graduated from MIT with a double major in computer science and management science, along with top engineering honors from the Tau Beta Pi honor society. Valedictorian of the Wheatley high school.
LEADERSHIP TEAM
Jack Giunta
Founding Partner
Automation Engineering Leader at multiple FAANG companies.
Jack built and operated automation systems at top tech companies, driving measured $167M+ in revenue lift and $50M+ in cost reduction through automation platforms.
Lambert Chu
Founding Partner
AI/ML Engineering Leader from MIT. Y-Combinator graduate.
Lambert is a seasoned machine learning engineer who was the founder and CTO of Point API, a YC-backed company that developed text autocomplete technology. Since then, Lambert has worked for Instagram, the New York Yankees, and tech startups, helping to solve mission-critical problems affecting modern organizations.
Matthew Diminich
Principal, Enterprise Accounts
Matt manages strategic enterprise relationships at Black Osprey, leveraging a deep background in high-value infrastructure deals. Prior to joining, he led multi-million dollar solar development projects, bringing complex initiatives from concept to execution across the energy sector.
Colleen Giunta
Senior Member of the Technical Staff
Colleen is a software engineer specializing in high-frequency trading and predictive modeling. She has developed machine learning models for trading optimization at Black Osprey and applied her technical skills to automation and entrepreneurship across diverse industries.
FAQ
What does Black Osprey do?
Black Osprey embeds engineers and technical leadership inside companies to build automation systems, infrastructure, and applied AI. The work is measured by impact: $200M+ in revenue and cost outcomes across automation systems built and operated inside large-scale technology organizations.
What results has the team delivered?
The track record includes a 32% conversion lift from an AI client management platform shipped for a national real estate brokerage in 12 weeks, a measured $167M sales lift at Amazon, $50M in yearly recurring cost savings at AWS, and a 107% profit increase for small landscaping companies.
How does an engagement work?
- Diagnose: a short assessment finds the workflows where automation moves real money.
- Embed and build: our engineers work inside your organization, building bespoke systems against your real constraints.
- Ship and hand over: we stay close to execution until systems are live, adopted, and owned by your organization.
What does forward deployed mean?
Forward deployed engineers work deeply embedded within your company rather than at arm's length, producing returns that off-the-shelf AI software cannot. Black Osprey has been executing this model since 2023.
Are you tied to a specific AI vendor?
No. Black Osprey is vendor-agnostic: every solution is tailored to the client's situation, built with cost and resource constraints in mind, and designed to adapt as the AI landscape shifts.
How do I get started?
Book a 30-minute discovery call with a founding partner to find the highest-leverage automation in your business.
Book a discovery call
30 minutes with a founding partner to find the highest-leverage automation in your business.
Prefer a direct link? Book on Calendly