Adjacent capabilities — principal-led

Environmental Analytics

These are services only a team with real field experience can deliver. We combine boots-on-the-ground environmental knowledge with modern data science to tackle the complex, high-stakes problems that generalist firms can't handle.

E1

Carbon & Forest Carbon Analytics

Rigorous, methodology-compliant carbon stock assessments and MRV systems for forests, land use, and carbon projects. Built on CDM, REDD+, and VCS frameworks by licensed foresters who have done this in the field.

  • Forest carbon stock estimation (biomass, soil, deadwood, litter)
  • REDD+ and VCS-compliant MRV system design and data pipelines
  • Carbon project monitoring dashboards (real-time, audit-ready)
  • Allometric equation databases and species-specific carbon models
  • Carbon credit registry data integration and reporting
  • Additionality and leakage modeling for carbon market submissions

Ideal for

Carbon project developers, REDD+ proponents, forestry companies, conservation organizations, and any organization that needs defensible carbon accounting — not just a spreadsheet.

REDD+VCS / VerraCDMPythonCO2FIXR

Typical Engagement

Timeline: 4–12 weeks depending on scope

Deliverables: Carbon stock database, MRV system, monitoring dashboards, audit-ready documentation

Pricing: Get a custom quote →

E2

Geospatial & Remote Sensing Analytics

Turn satellite imagery, drone data, and field GPS points into actionable spatial intelligence. We process and analyze geospatial data at the scale and precision that environmental decision-making demands.

  • Land cover and land use change detection (LULUCF analysis)
  • Deforestation and forest degradation mapping from satellite imagery
  • Biomass and canopy cover estimation using remote sensing
  • Drone data processing and orthomosaic generation
  • Spatial dashboards and interactive web maps
  • GIS database design and field data integration (KoboToolbox, ODK)

Ideal for

Mining companies, forestry firms, environmental agencies, conservation NGOs, and development organizations that need to monitor and report on land and resource changes over time.

QGISArcGISGoogle Earth EngineSNAPPythonODK

Typical Engagement

Timeline: 3–8 weeks

Deliverables: Processed spatial datasets, change detection reports, interactive maps, spatial database

Pricing: Get a custom quote →

E3

Environmental Impact & Compliance Analytics

Data systems for EIA compliance, environmental management plans, and regulatory reporting — built to withstand scrutiny and designed to make monitoring sustainable long-term.

  • EIA data management systems and compliance tracking dashboards
  • Environmental monitoring KPI frameworks (air, water, biodiversity, soil)
  • Automated regulatory reporting pipelines
  • Environmental audit data preparation and evidence packaging
  • ISO 14001 Environmental Management System data integration
  • Stakeholder and community monitoring data systems

Ideal for

Mining companies, infrastructure developers, industrial firms, and environmental consultancies that need defensible, audit-ready environmental monitoring systems and compliance reporting.

ISO 14001EIA CompliancePythonPower BIKoboToolbox

Typical Engagement

Timeline: 4–10 weeks

Deliverables: Compliance dashboard, monitoring data system, automated reports, audit package

Pricing: Get a custom quote →

E4

ESG & Climate Risk Reporting

End-to-end ESG data systems and climate risk analytics aligned to global frameworks — built by people who understand the underlying science, not just the reporting templates.

  • GHG emissions inventory design (Scope 1, 2, and 3)
  • ESG data collection, cleaning, and consolidation pipelines
  • TCFD, GRI, and CDP-aligned reporting dashboards
  • Climate scenario analysis and physical risk mapping
  • Sustainability KPI frameworks and annual report data packages
  • Supply chain environmental risk assessment systems

Ideal for

Corporations with ESG commitments, infrastructure and real estate firms with climate risk exposure, and development finance institutions requiring science-based sustainability reporting.

GHG ProtocolTCFDGRICDPPythonPower BI

Typical Engagement

Timeline: 4–8 weeks

Deliverables: GHG inventory, ESG dashboard, reporting templates, methodology documentation

Pricing: Get a custom quote →

E5

NGO & Development Program Analytics

Impact measurement and data systems for development organizations, conservation NGOs, and government programs — turning field data into evidence that funders and policymakers trust.

  • M&E (Monitoring & Evaluation) framework design and data systems
  • Field data collection system setup (KoboToolbox, ODK, Survey123)
  • Beneficiary and program impact dashboards
  • Donor reporting data packages (USAID, GEF, GCF, World Bank formats)
  • Community forestry and livelihood data systems
  • Grantee and partner data aggregation pipelines

Ideal for

Conservation and development NGOs, government agencies running environmental programs, and international organizations that need robust M&E systems for community and ecosystem interventions.

KoboToolboxODKM&EPower BIPythonDonor Reporting

Typical Engagement

Timeline: 3–8 weeks

Deliverables: M&E framework, field data system, impact dashboard, donor report templates

Pricing: Get a custom quote →

E6

AI & Predictive Modeling for Environmental Data

Machine learning models built on environmental datasets — from species distribution and deforestation risk prediction to AI-assisted image classification for satellite and drone imagery.

  • Deforestation and land degradation risk prediction models
  • Species distribution modeling (MaxEnt, SDM)
  • Satellite and drone image classification using computer vision
  • Environmental time-series forecasting (rainfall, biomass, pollution indices)
  • Anomaly detection for environmental monitoring sensor data
  • AI-assisted field data quality control and validation

Ideal for

Conservation technology organizations, research institutions, government environmental agencies, and forestry companies wanting to move beyond manual monitoring into predictive and automated intelligence systems.

PythonTensorFlowscikit-learnGoogle Earth EngineMaxEntR

Typical Engagement

Timeline: 6–14 weeks

Deliverables: Trained model, validation report, prediction outputs, deployment-ready system

Pricing: Get a custom quote →

E7

Corporate Carbon Footprint Assessment & Reduction

A complete measure-then-reduce service for organizations that want to understand their carbon footprint and act on it — not just report it. We go beyond the spreadsheet to build a science-based reduction roadmap your team can actually execute.

  • Whole-organization carbon footprint measurement (Scope 1, 2, and 3 emissions)
  • Emissions hotspot analysis — identifying where the biggest reductions are possible
  • Science-based target setting aligned to the SBTi framework
  • Carbon reduction roadmap with prioritized, practical action plans by department or business unit
  • Carbon labeling for products, services, trips, or events
  • Annual carbon tracking dashboard for progress monitoring
  • Net zero strategy documentation and stakeholder communication support

Ideal for

Companies in travel & tourism, events, retail, manufacturing, and any sector with supply chain emissions that want to move from vague sustainability commitments to a credible, data-driven path to net zero.

GHG ProtocolSBTiScope 1/2/3PythonPower BIOpenLCA

Typical Engagement

Phase 1 — Measure: 3–6 weeks (carbon footprint report + hotspot analysis)

Phase 2 — Reduce: 4–8 weeks (reduction roadmap, target setting, tracking dashboard)

Deliverables: Full carbon inventory, hotspot report, science-based reduction plan, progress dashboard

Pricing: Get a custom quote →

Need robust data infrastructure to support your environmental work — or just solid analytics for your organization regardless of sector? Our core data services have you covered.

Data & Analytics Services

Delivered directly by our principal. We take these engagements for environmental, sustainability, and mission-driven organizations whose data infrastructure needs to catch up with their mission — and, selectively, for other organizations where the principal's cross-sector experience adds clear value.

A1

BI & Dashboard Development

Custom dashboards that connect to your actual data sources, track the metrics that matter, and update automatically. No more manual spreadsheet assembly or reports that are out of date before they're shared.

  • Power BI and Tableau dashboard design and development
  • Data source connections (databases, APIs, spreadsheets, CRMs)
  • KPI definition and metric alignment across teams
  • Automated refresh schedules and distribution
  • User training and documentation

Ideal for

Organizations whose teams rely on spreadsheets for reporting and want real-time visibility into operations, finance, or program performance.

Power BITableauLooker StudioSQL

Typical Engagement

Timeline: 2–4 weeks

Deliverables: 1–3 dashboards, data connections, KPI documentation, user training

Pricing: Get a custom quote →

A2

Workflow Automation

Stop manually copying data between systems. We build automations that connect your tools into seamless workflows — freeing your team to focus on work that actually requires their expertise.

  • CRM automation (Salesforce, HubSpot) — triggers, workflows, pipeline management
  • Cross-platform integrations via Zapier, Make, or custom APIs
  • Client and program onboarding automation
  • Reporting automation and scheduled distribution
  • Process mapping and documentation

Ideal for

Organizations where teams manually update multiple tools and waste hours on repetitive data entry, file transfer, or report generation.

ZapierMakePower AutomateAPIsn8n

Typical Engagement

Timeline: 1–3 weeks per workflow

Deliverables: Automated workflows, process documentation, monitoring setup

Pricing: Get a custom quote →

A3

Data Strategy & Reporting

Before building dashboards, sometimes you need to fix what's underneath. We help organizations define the right KPIs, clean up their data foundations, and build reporting systems that leadership actually trusts.

  • KPI framework design and alignment workshops
  • Data quality audits with scored report cards
  • Reporting standardization across teams and departments
  • Executive reporting packages (PDF + dashboard)
  • Data architecture and governance planning

Ideal for

Organizations with data scattered across multiple tools, no agreed-upon KPIs, and leadership teams that don't trust their current numbers.

KPI DesignData ModelingPythonGovernance

Typical Engagement

Timeline: 2–4 weeks

Deliverables: KPI framework, data audit scorecard, reporting templates, governance plan

Pricing: Get a custom quote →

A4

Fractional Analytics Support

Need senior analytics capability but can't justify a full-time hire? We embed part-time into your team as your analytics lead — building dashboards, running analyses, and keeping your data infrastructure healthy on an ongoing basis.

  • Part-time embedded analytics team (10–20 hours/week)
  • Ongoing dashboard development and maintenance
  • Ad-hoc analysis and stakeholder reporting
  • Data infrastructure monitoring and optimization
  • Team coaching on data tools and best practices

Ideal for

SMEs and environmental organizations that need senior analytics capability on an ongoing basis but aren't ready (or don't need) to hire a full-time data lead.

Power BIPythonSQLAll Tools

Typical Engagement

Commitment: 3-month minimum, ongoing

Scope: 10–20 hours/week of dedicated analytics support

Pricing: Get a custom quote →

Looking to go beyond dashboards and automation — and put AI to work as an active participant in your workflows? Our agentic AI practice has you covered.

Agentic AI Development

AI agents and RAG systems built for the workflows environmental and compliance teams actually run — carbon report drafting, regulatory research, field data validation, ESG disclosure automation. Principal-led, typically scoped as a 6–12 week build plus handover.

G1

AI Agent Design & Development

Custom AI agents that can reason, plan, and execute multi-step tasks autonomously — connected to your data, tools, and systems. We design agents that work the way your team actually works, not generic chatbots bolted onto a workflow.

  • Custom AI agents built on Claude, GPT-4o, and open-source LLMs
  • Multi-step reasoning and task planning (ReAct, chain-of-thought, tool-use patterns)
  • Tool and API integration — agents that can query databases, call external services, and write files
  • Memory systems for long-running agents (short-term, episodic, vector-based retrieval)
  • Human-in-the-loop controls and approval gates for sensitive actions
  • Agent evaluation, testing, and reliability frameworks

Ideal for

Organizations that have repetitive, multi-step knowledge work — research, data gathering, report drafting, compliance checking — and want AI to handle the execution, not just suggest what to do.

Claude APIOpenAILangChainLangGraphPythonTool Use

Typical Engagement

Timeline: 4–10 weeks

Deliverables: Deployed agent, integration docs, evaluation report, handover training

Pricing: Get a custom quote →

G2

Claude Code & AI-Assisted Development

We use Claude Code and agentic coding workflows to accelerate software development, data pipeline construction, and analytics engineering — producing robust, well-documented code faster than traditional approaches.

  • Claude Code-powered development for data pipelines, dashboards, and internal tools
  • Agentic code review, refactoring, and documentation generation
  • Automated data pipeline construction and testing
  • AI-assisted SQL, Python, and R script development for analytical workflows
  • Legacy code analysis and modernization using AI agents
  • Custom MCP (Model Context Protocol) server integration for enterprise tools

Ideal for

Data and analytics teams that want to accelerate delivery, reduce repetitive coding work, and integrate AI-assisted development into their existing engineering workflows.

Claude CodeMCPPythonSQLGitHub

Typical Engagement

Timeline: 2–6 weeks

Deliverables: Functional codebase, documentation, test suite, deployment guide

Pricing: Get a custom quote →

G3

RAG & Knowledge Base Systems

Retrieval-Augmented Generation (RAG) systems that let your team query their own documents, reports, field data, and institutional knowledge using natural language — with answers grounded in your actual data, not hallucinations.

  • Custom RAG pipeline design and deployment on your document library
  • Vector database setup and document ingestion (PDFs, reports, field notes, databases)
  • Internal knowledge base chatbots and Q&A systems
  • Environmental regulation and compliance document retrieval systems
  • Multi-source retrieval across structured and unstructured data
  • On-premise and private deployment options for sensitive environmental data

Ideal for

Environmental consultancies, government agencies, NGOs, and research organizations sitting on years of field reports, EIA documents, and institutional knowledge that is currently impossible to search or synthesize at scale.

RAGLlamaIndexPineconepgvectorClaude APIPython

Typical Engagement

Timeline: 3–7 weeks

Deliverables: Deployed RAG system, ingestion pipeline, user interface, accuracy evaluation report

Pricing: Get a custom quote →

G4

Multi-Agent Workflow Orchestration

Systems where multiple AI agents collaborate — each handling a specialized task — to complete complex, end-to-end workflows that would take a human team hours. We architect, build, and deploy multi-agent pipelines designed for reliability and auditability.

  • Multi-agent pipeline architecture (orchestrator + specialist agent patterns)
  • Environmental monitoring agents — automated data collection, anomaly flagging, and report generation
  • Research and synthesis agents for scientific literature and regulatory documents
  • Automated ESG and compliance report drafting pipelines
  • Agent-to-agent communication and task handoff design
  • Logging, observability, and audit trails for regulated environments

Ideal for

Organizations running complex, recurring analytical workflows — carbon reporting, environmental monitoring summaries, regulatory submissions — where the process is well-defined but time-consuming to execute manually every cycle.

LangGraphCrewAIClaude APIPythonFastAPI

Typical Engagement

Timeline: 6–14 weeks

Deliverables: Deployed multi-agent system, orchestration diagram, monitoring dashboard, runbook

Pricing: Get a custom quote →

From first call to delivered results

01

Discovery

Free 20-minute diagnostic call. We learn about your challenge, your data, and assess whether we're the right fit.

02

Proposal

Clear scope, timeline, deliverables, and pricing. No surprises, no hourly billing puzzles.

03

Build

We work with your data and your team — combining environmental domain expertise with technical execution.

04

Deliver & Support

Training, documentation, and handover. Optional retainer for ongoing support and optimization.

Not sure which service fits your problem?

Start with a free 20-minute diagnostic. We'll ask about your data, your goals, and your field context — and give you an honest answer on where we can help and how.