Build a verified asset inventory.
Import utility data and field observations for sources, intakes, pumping stations, mains, reservoirs, treatment plants, distribution pipelines, and other water supply components.
Development Monitors is an interdisciplinary consulting company that designs and implements sustainable solutions across multiple fields and sectors. We leverage low-cost and open-source hardware and software that can be maintained by our local partners.
Development Monitors is a US-registered company founded in 2017 by two experienced international research and development specialists, Dr. James Weeks and Mr. Umesh Tiwari.
Development Monitors is a development engineering company focused on tailoring and applying innovative technologies — including artificial intelligence and machine learning, geospatial asset risk management, autonomous drones and weather stations, and remote sensing and high-resolution aerial and satellite imagery — to solve research and development challenges across a wide range of fields and sectors.
Since 2018, the firm has partnered with The Washington Center to host over 70 undergraduate and graduate students majoring in computer science, engineering, and international relations from ten countries for three- to four-month full-time internships.
ARTMS combines a georeferenced asset register, hazard overlays, water-quality evidence, and dashboard analytics so utilities can see where assets are, how they are performing, and which investments should come first.
Import utility data and field observations for sources, intakes, pumping stations, mains, reservoirs, treatment plants, distribution pipelines, and other water supply components.
Display every asset in an interactive map environment with OSM or satellite basemaps, administrative boundaries, utility layers, and project-specific geographies.
Overlay landslide, flood, earthquake, and watershed risk layers, then rank assets by condition, criticality, and exposure to guide maintenance and resilience investments.
The dashboard concept brings the asset register, asset criticality level, map view, and water-quality table into a single utility-facing workspace. The updated Lekhnath view shows how field-verified infrastructure data, map-linked assets, maintenance priorities, and water-quality records can sit together for planning, monitoring, and financial planning.
Keep the verified register visible next to the map, with asset type, material, ward, installation year, and condition filters.
Make hazards work like interactive layers so landslide, flood, and other exposure data can be toggled against the selected asset.
Use the standard red, yellow, and green scheme to communicate high, medium, and low criticality assets at a glance.
Compare standard values with tested values and flag compliant or non-compliant results for operational review.
RIGORA triages research landscapes for questionable research practices, combining structured user inputs, academic-source retrieval, evidence extraction, source curation, and expert review into an AI-assisted briefing workflow.
Checks whether the user supplied enough scope to run a useful review and asks follow-up questions when the prompt is incomplete.
Generates targeted queries, retrieves sources, classifies relevance, and builds a curated source list for the next stage.
Extracts report-tailored evidence from each source, with review screens for accepting, rejecting, or refining the extracted material.
Generates a concise briefing memo from accepted evidence, with AI-generated labeling and explicit verification requirements.
Keeps domain experts in the loop for judgment calls, methodological interpretation, and final sign-off before dissemination.
In crop science and agronomy testing, the platform can surface recurring methodological risk patterns for expert review.
RIGORA is being developed to produce an assessment memo that summarizes the research landscape, anchors findings in selected sources, identifies Questionable Research Practice indicators,
A working archive of fieldwork - watersheds and water mains, asset registries, coastal baselines, analytical maps, and partner consultations captured on assignment from around the globe.
Counts reflect prime contracts. Cross-regional row covers Gates Foundation research projects spanning sub-Saharan Africa, India, and Nepal. Total: 18.