Capabilities

What We Build.
How We Deliver.

Three focused capability lines. Each is delivered by senior engineers embedded inside your organization, not managed from a distance.

01

Custom AI Orchestration

RAG · Agents · LLM Ops · Evaluation

Most AI pilots fail at the boundary between experimentation and production. Our Forward Deployed Engineers live in that boundary. We design, build, and ship AI orchestration layers, including retrieval augmented generation pipelines, multi-agent frameworks, and LLM evaluation infrastructure, directly inside your existing environment.

Problems We Solve

  • 01AI pilots that cannot cross the staging-to-production gap
  • 02RAG systems returning hallucinated or stale results
  • 03LLM costs and latency that are unsustainable at scale
  • 04No observability or guardrails over model behavior
  • 05Vendor lock-in preventing architectural control

What We Deliver

RAG architecture over internal knowledge bases and document corpora
Multi-agent orchestration with LangChain and LlamaIndex
LLM evaluation pipelines, guardrails, and behavioral monitoring
Embedding pipelines and vector store management (Pinecone, Weaviate)
Model serving, latency optimization, and cost controls
On-premise, AWS Bedrock, or Azure OpenAI deployment
<6 weeks
From kickoff to production deployment
100%
IP ownership transferred to client at close
0
Strategy decks delivered

Stack

PythonLangChainLlamaIndexPineconeWeaviateFastAPIAWS BedrockAzure OpenAI
02

Embedded Enterprise Data Engineering

Snowflake · dbt · Airflow · Delta Lake · Spark

Enterprises do not have an AI problem. They have a data problem. Fragmented pipelines, inconsistent schemas, undocumented transformations, and absent governance make every AI initiative brittle. Our FDEs embed directly into your data organization to build the foundational infrastructure that makes enterprise AI trustworthy and scalable.

Problems We Solve

  • 01Fragmented data sources with no unified semantic layer
  • 02Pipelines that break silently and corrupt downstream models
  • 03No lineage, observability, or data quality enforcement
  • 04Data warehouses that cost more than they deliver
  • 05Teams blocked on missing features in legacy infrastructure

What We Deliver

Data lakehouse architecture design and migration
Snowflake, Databricks, and Delta Lake implementation
dbt semantic layer and data model design
Airflow and Prefect orchestration pipeline development
Real-time streaming with Kafka and Kinesis
Data quality, observability, and lineage (Great Expectations, Monte Carlo)
Days
To production-quality pipelines, not sprints
Zero
Vendor lock-in is eliminated because you own every asset
Full
Handoff with documentation and team enablement

Stack

SnowflakedbtAirflowSparkKafkaDelta LakeTerraformAWS / Azure
03

Post-Acquisition Operational Redesign

M&A Integration · Tech Rationalization · Process Automation

M&A deals are won in the boardroom and lost in the server room. After close, fragmented technical operations, redundant systems, and misaligned data definitions erode projected deal value at speed. Our FDEs embed in the combined entity to map, consolidate, and redesign technical operations, which compresses multi-year integration timelines to a fraction of the expected duration.

Problems We Solve

  • 01Redundant SaaS stacks and overlapping tooling with no rationalization plan
  • 02Incompatible data models between acquired and acquiring entities
  • 03Manual cross-entity processes with no automation path
  • 04Leadership missing a unified operational view post-close
  • 05Integration timelines slipping past deal value realization windows

What We Deliver

Legacy system audit and technology rationalization roadmap
Cross-entity data integration and master data management
Process automation across combined business units
ERP and SaaS stack consolidation
Executive operational KPI dashboards
Change management documentation and team handoff
Weeks
To unified operational visibility post-close
50%+
Reduction in redundant tooling cost (typical)
0
Integration roadmaps left unexecuted

Stack

PythonTypeScriptSQLPower BITableauCI/CDAWSAzure

Scope an Engagement

Tell us what you're building. We'll tell you how we can be embedded in it within weeks.