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Build AI into the work that moves your business.

We build production AI that uses your business context, works across your tools, and takes controlled action. The same accountable team also delivers applications, data platforms, integrations, and cloud modernization.

Selected companies we’ve worked with

  • Reinsurance Group of America
  • P&G
  • Colgate-Palmolive
  • Komatsu
  • SavATree
  • Tidemark Capital
  • Postman
  • Speakeasy
  • Portkey
  • HyperVerge
  • Pepper Content
  • Mysa
  • Base Power
  • dub
  • American Chemical Society
  • Fanstake
  • Stride Learning

Start with the work.
Not the model.

Start with a valuable business problem, usable data, and a safe path to adoption.

Customer & service operations

Resolve customer and service requests faster.

Agents and voice assistants bring together customer context, coordinate handoffs, and take approved actions.

Knowledge & documents

Turn fragmented knowledge into traceable answers.

Understand documents and search business knowledge to deliver useful answers with traceable sources.

Reporting & decisions

Move from data to informed action faster.

Analytical agents explain anomalies, explore scenarios, and bring recommendations into your existing tools.

Operations & field work

Coordinate field work across people, assets, and systems.

Field copilots use images, voice, and asset context to flag exceptions and coordinate the next action.

Software & internal platforms

Build AI tools around your team’s work.

Embed AI that plans and completes multi-step tasks across business systems, with permissions and memory.

Products & customer experience

Launch differentiated, AI-native products.

Create personalized experiences that understand text, images, and voice—and respond in real time.

A production path.
Built around evidence.

Each phase produces the evidence needed for the next decision.

Decision

Which workflow is worth building?

Agree the users, business value, usable data, and level of automation. Define success and where human judgment stays in control.

You receive
A prioritized use case and agreed success criteria.
Evidence to continue
Agreed success measures, usable data, and clear automation boundaries.

Trust is engineered
into the system.

Keep production AI reliable, secure, and accountable. Clear evidence and a path to recovery help your team stay in control after launch.

Built-in production controlsData, actions, quality, and operations
Secure use of company data

Give models and agents only approved information through controlled retrieval, memory, and connections to your systems.

Controlled access and actions

Limit what agents can see and do with identity checks, scoped permissions, isolated environments, and human approval where it matters.

Continuous quality and safety testing

Test task success, source grounding, safety, recovery, speed, and cost before release and throughout production, including adversarial cases.

Production monitoring and recovery

Trace actions and system state, collect feedback, and support escalation, replay, and rollback so problems stay visible and recoverable.

Designed for your workflow. Verified throughout production.

One engineering partner.
AI, applications, data, and cloud.

We connect AI to the software, data, and infrastructure it needs to work. Each capability also stands on its own for your wider technology roadmap.

01 / 04

Applied AI implementation

Build AI systems that use your business context, work across your tools, and take controlled action—with measurable performance and clear client ownership.

  • Reasoning agents, copilots, and multi-agent workflows
  • Voice, multimodal, and AI-native applications
  • Context, memory, skills, and connected tools
  • Evaluations, guardrails, and AI operations
Explore applied AI

02 / 04

Applications & automation

Build and modernize the applications and workflows that power your products and operations.

  • Web and mobile applications
  • Internal platforms and workflow automation
  • APIs and business system integrations
Explore application engineering

03 / 04

Data & analytics

Connect reliable data platforms, pipelines, and business knowledge to support decisions and ground AI in trusted information.

  • Data platforms, pipelines, and lakehouses
  • Analytics, BI, and data governance
  • Semantic layers, knowledge graphs, and retrieval
Explore data and analytics

04 / 04

Cloud & platforms

Modernize infrastructure and enterprise platforms for dependable applications, integrations, and production AI.

  • Cloud migration and modernization
  • Model serving and secure AI runtimes
  • Platform reliability and AI observability
Explore cloud and platforms

Built around how
your industry operates.

Experience across regulated enterprises, consumer brands, field operations, and technology helps us build around how your business works.

Regulated operations

Insurance & reinsurance

Connect critical applications, controlled documents, and reporting across regulated operations.

Complex enterprises

Consumer products & retail

Bring together data from brands, markets, and established platforms so teams can coordinate work and decisions.

Distributed operations

Industrial & field services

Connect asset information, field tasks, and frontline teams so distributed operations stay coordinated.

Digital products

Technology & SaaS

Connect customer-facing products, internal tools, and data systems with integrations and production AI.

AI and technology that move the investment thesis forward.

For private equity firms and portfolio companies, we deliver production AI, applications, data, automation, integrations, and cloud modernization across the hold period.

Deliver technology value while it can still influence the investment outcome.

  1. Acquisition & integration

    Connect the business

    Bring acquired applications, workflows, and data together so teams can operate with less fragmentation.

  2. Value creation

    Put AI and automation to work

    Connect AI workflows and products to revenue, margins, service, and risk. Remove manual bottlenecks, reduce errors, and increase operating capacity.

  3. Scale

    Build for growth and visibility

    Launch revenue and operational applications. Unify reporting and operating metrics so management can see performance as the business grows.

  4. Exit readiness

    Strengthen the technology foundation

    Modernize critical systems, improve resilience, and address technology gaps before diligence.

Custom where it matters.
Platforms where they help.

We choose architecture around your operating needs, existing environment, time to value, risk, and long-term ownership.

Custom AI & full-stack systems.

Build reasoning and multimodal AI into purpose-built software, with the context, memory, and tools each workflow needs.

  • Agent connections to business tools and other agents, using MCP/A2A where appropriate
  • Context engineering, memory, and secure sandboxes
  • Evaluations, guardrails, and durable runtimes
Custom engineering

Established platforms.
Expert implementation.

We implement, integrate, extend, and operate platforms as part of the applications, data, analytics, AI, and cloud outcomes we deliver.

Platform implementation expertise.

Applications, data, analytics, AI, and cloud.

  • Retool

    Applications & workflows

  • BI & analytics

  • Airbyte

    Data integration

  • Data transformation

  • SnowflakeDatabricks

    Data platforms

  • Azure

    Cloud platforms

Find the first workflow worth putting into production.

Our AI Opportunity Assessment turns a promising use case into a clear production plan before you commit to the full build.