Development
USA1601 Market Street, 19th Floor, Philadelphia, PA 19103
USA112 Capitol Trail Suite A278, Newark, DE , 19711
PolandMuchoborska 8, budynek b1, 1 pietro, Wrocław, 54-424
EstoniaNarva mnt 5, Tallinn, 10117
UkraineHeroiv UPA 72, Lviv, 79018
USA1601 Market Street, 19th Floor, Philadelphia, PA 19103
USA112 Capitol Trail Suite A278, Newark, DE , 19711
PolandMuchoborska 8, budynek b1, 1 pietro, Wrocław, 54-424
EstoniaNarva mnt 5, Tallinn, 10117
UkraineHeroiv UPA 72, Lviv, 79018
of clients move from idea to roadmap
custom-tailored roadmaps
reduction in planning risk
consulting engagements
We’ve helped teams who saw AI’s potential but got stuck, unsure where to start or lost in planning loops. No 60-page decks. We focus on high-impact use cases and validate them against your data and constraints.
A roadmap you can build on
In 10–14 days, you get a clear, focused plan based on your real data and workflows. It’s the true action plan your team can build from.
Clear alignment across teams
We ensure your tech leads, product teams, and execs are aligned so the strategy makes sense in theory and practice.
Pilots that don’t go nowhere
~60% of AI initiatives stall early. We help you avoid the common trap: promising ideas that never go live. Our team flags blockers early and validates your data.
Tool-agnostic, outcome-first
We don’t sell tools or platforms. Our only goal is to help you make smart decisions, whether that means building, buying, or waiting.
Tailored to your reality
Repurposing frameworks or reusing roadmaps is not our approach. After all, your context matters. Every recommendation is built around how your business works.
Experience across complex domains
We’ve consulted on AI strategy in logistics, healthcare, fintech, and more. It’s where data is messy, systems are rigid, and results matter.
AI doesn’t have to mean big budgets and long cycles
Start lean by validating value early and avoiding dead ends before they burn time and resources
Vendors pitch similar-sounding solutions, often disconnected from your real operations, systems, or KPIs. The thing is not about technical capabilities. What’s missing it’s a strategic fit.
We analyze your business context, existing architecture, and team capacity to define where AI will actually move the needle.
Companies often get stuck in experimentation: proofs of concept that don’t scale and internal tools that don’t integrate.
We step in before sunk costs escalate, helping you validate feasibility, assess delivery risk, and focus on AI efforts that survive contact with production.
Engineering teams want to automate ops. Product ones want user-facing features. Leadership expects measurable outcomes.
Our consulting creates alignment: translating business goals into AI opportunities, clarifying priorities, and giving each stakeholder a shared, execution-ready direction.
From customer records and support logs to transactions and sensors, your data likely holds value. But raw data ≠ insight.
We assess data readiness, identify what can be modeled or automated, and guide next steps like cleaning up, enrichment, or new pipelines.
You’re not alone. Many companies stay in research mode for too long, worried about costs, internal gaps, or lack of clarity.
We help you define a right-sized first step: low-risk, scoped to your capacity, and focused on quick insight or automation.
Our deliverable is a process that ends in a roadmap backed by data, shaped by your constraints, and tied to real delivery paths.
You’ll know what to do next, who needs to be involved, and how to avoid common missteps before they happen.
Cut planning time by
thanks to focusing only on validated, high-impact use cases and skipping months of internal debate
Reduce pilot failure rates by
through technical feasibility checks, data readiness audits, and realistic project scoping
Accelerate time-to-execution by
with a roadmap that aligns business, product, and engineering, so teams move without friction
Decrease delivery costs by
by avoiding overbuilding, underused tools, and vendor lock-in through smarter AI scoping
Let’s turn insight into movement
If you’re ready to move past internal delays, unclear scope, or scattered AI efforts, we’re here to help
End-to-end understanding of AI systems
Our team brings both strategic oversight and hands-on understanding, from use-case definition to MLOps readiness, data constraints, and integration pathways. We’ve helped clients avoid months of rework by asking the right operational questions before development starts. That’s why 80% of our consulting engagements move seamlessly into implementation.
AI-native internal culture
We don’t treat AI as something we only recommend to clients. It’s used in our workflows across engineering, delivery, and operations. For example, Cursor AI is integrated into how we prototype, scope, and deliver internally. We track internal velocity improvements and apply what we learn to speed up client delivery timelines by 20–40% on average.
We stay for what comes next
Many consulting firms hand over a PDF and walk away. We don’t. Over 70% of clients who engage with us at the strategy level continue with us into AI agent development, custom ML builds, or automation pilots. That’s because our consulting process is designed with delivery in mind. There’s no translation needed between strategy and build.
Platform-agnostic approach
We don’t resell software or push one cloud over another. We work with AWS, Azure, GCP, Open Source, and hybrid stacks regularly. This allows us to recommend what fits your architecture, not ours. Our clients often cite this independence as a reason they trust us with early-stage architecture and investment decisions.
Get a focused, use-case-driven roadmap in just 10–14 days
It’s how 8 out of 10 of our consulting clients move confidently into execution
That’s exactly where many of our clients start. You've probably built a POC, integrated an LLM, or explored automation, but it didn’t make it to production or failed to show ROI.
The difference is structure: our consulting process brings cross-functional clarity, data feasibility checks, and business alignment, all before you commit resources. We identify what went wrong in earlier efforts, like misaligned incentives, premature tooling, or lack of stakeholder buy-in, and give you a path forward that's execution-ready, not theoretical.
Not at all. We work with mid-size product companies, scaling startups, and innovation teams inside enterprises. What matters isn’t size, it’s the intent to use AI to solve real operational problems, not just follow trends.
Our consulting formats are flexible, from focused 2-week sprints for startups to in-depth multi-departmental AI strategy programs for larger organizations. If you have data, workflows, and a business problem worth solving, we can tailor our process to your scale.
Yes, and in fact, over 70% of our consulting clients continue into pilot or full-scale development with us. Our engineers and data scientists are deeply familiar with the roadmap process, so there’s no handoff gap. You move directly into implementation with a team that already understands your goals, constraints, and context.
That said, we also structure our roadmaps so that any capable in-house or external development team can take them forward independently if needed.
No, and that’s the point. Many of our clients don’t have dedicated AI engineers or data scientists when we begin. Our team worked with non-technical leadership, product managers, operations teams, and domain experts. So, we know how to translate technical concepts into clear decision-making criteria. As a result, you walk away with a strategic direction. And if your internal team does have AI knowledge, we plug in as specialists, not as a replacement, but as strategic acceleration.
Absolutely. If you already have one high-impact AI idea and want to de-risk it before committing a budget, we offer a focused use case validation sprint. We’ll test the use case against your data, model requirements, tech stack, and business context. Then, you’ll know where it’s strong, where it’s risky, and what would be required to move forward. This is ideal for teams that want quick answers without over-committing to a full program.
We’ve built the process to be lightweight but high-leverage. Typically, we ask for 3–5 structured working sessions with stakeholders from product, ops, data, or IT. The rest of the analysis, synthesis, and roadmap creation is handled asynchronously by our team.
You’ll receive regular check-ins and previews to ensure alignment without dragging your team into unnecessary meetings. Past clients tell us they got more clarity in two weeks than they did in three months of internal discussions.
