A boutique advisory with the breadth of an enterprise consultancy and the cadence of a product team. Engage us for a single phase, or for the long arc from first assessment to ongoing service.
Early technical strategy, milestone planning, and digital transformation sequencing. We translate ambition into an engineering plan with named decisions, dependencies, and dates, and ship the board-ready artifacts to defend it.
Rapid AI/ML and GenAI prototyping, from data ingestion to usable outputs, plus technical architecture reviews and production web development. We build the thing, end to end, fast enough that you can decide on real evidence rather than hypothesis.
KPI modeling, data-driven market research, and translating complex analytics into leadership insight. The kind of work that makes a CFO and a CTO agree on a number, and the work that surfaced $40M in annual CAPEX savings at Fluence Energy.
Prioritizing AI initiatives, vendor evaluation, IP strategy, and AI hiring strategy. We help leaders separate durable bets from fashionable ones, and structure teams that can deliver either.
We support the full lifecycle of an AI product or transformation initiative, and engagements can start at any phase. Most clients enter at audit or roadmap and stay through deployment.
Diagnose data, stack, team, and the bets currently on the table. Full AI & DX audits, as delivered for RockFiber.
Sharpen the question. Frame the opportunity space and the defensible bets to make first.
Sequenced milestones, dependencies, named owners, and board-ready artifacts.
What to protect, what to open-source, what to license, and how to document it. No claims on your IP.
Production rollout, cloud, hybrid, edge, on-prem, or air-gapped targets. MLOps included.
Ongoing operation, observability, retraining, and incident support for the deployed product.
Most relationships start small and expand only as the work earns it. Engagements can be project-based, milestone-based, time-based, or interim, across short and long horizons.
Time-boxed, fixed-scope engagements, typically 2 to 10 weeks, to validate a hypothesis, ship a proof of concept, or de-risk a vendor decision before larger commitments.
Best when you need evidence, not a memo, before the next funding round, board meeting, or vendor selection.
Fees tied to defined deliverables: an audit report, a working prototype, a deployment milestone, an investor-ready architecture document. You pay when the artifact lands.
Public-sector funded work, SBIR/STTR projects, or any engagement where governance demands clear acceptance gates.
A predictable monthly or quarterly retainer for ongoing advisory, architecture review, and fractional leadership. Capacity tuned up or down as your roadmap shifts.
Teams that want senior support on tap, not project-by-project re-procurement.
Senior interim cover during executive searches, leaves, or transitions. We step in, hold the line on delivery, and hand off cleanly to your permanent hire.
Drawn from a vetted bench of tech veterans and academia, see the Talent page.
Discounted tiers for early-stage startups, including full AI & digital-transformation assessments, most recently for RockFiber, a full audit of their AI posture and roadmap.
End-to-end AI & digital-transformation audit covering data, stack, talent posture, and 12-month roadmap. A template for new startup engagements.
Four non-negotiable principles that show up in every contract, every deliverable, every conversation.
Zero IP claims on project deliveries. Code, models, documentation, training data, prompts, evaluation harnesses, all of it transfers cleanly to you. Brighture retains no rights to anything created during the engagement.
We sign a mutual NDA before discovery begins. Your data, roadmap, customer information, and trade secrets stay yours, with reciprocal protection for ours.
Boutique pricing without the enterprise-consultancy markup. Flat fee structure, senior operators only, no billing pyramid. You see exactly what you're paying for.
Targets defined up front and measured against the metrics your board cares about. Past engagements have unlocked $110M+ in measurable value across savings and revenue.
Behind the advisory work sits a proven team of cloud, MLOps, AI/ML, and GenAI engineers and scientists, which means we can leave the room with a deployed system, not just a memo.
Production agentic systems fusing speech, text, telemetry, and sensory data as inputs, orchestrated end-to-end, observable in production, with humans in the loop where it counts.
→Architecting AI for the environment it has to live in, public cloud, hybrid, on-prem, or fully air-gapped deployments for regulated, defense, and sensitive-data settings.
→Custom features, plug-ins, and AI add-ons that extend Salesforce into the workflows it doesn't natively cover, agent assistance, predictive scoring, and AI-driven analytics layered into the surfaces sellers already use.
→Hybrid physics-informed + data-driven SOH/RUL models, knee-point detection, fleet monitoring, and digital twins for energy storage integrators and asset owners.
→Resilient consensus, attack detection, and secure autonomy for connected devices, vehicles, and control systems, drawn from the founder's MIT and IEEE research.
→Factory, fleet, and grid digital twins connecting IIoT data, machine learning, and control theory, real-time dashboards with actionable recommendations.
→Production web applications, marketing sites, dashboards, and AI-powered web surfaces. Modern stacks (React, Next.js, Astro, Vue), API design, and full-stack delivery for AI features that need a clean front door.
→Some of our most consequential work happens outside the build cycle, in the rooms where AI strategy collides with legal exposure, grant committees, and contested technical claims.
Expert-witness, subject matter expert, and technical advisory engagements on AI and digital-transformation conflicts: contractual disputes, IP litigation, regulatory reviews, procurement disputes, and SME testimony. Independent, documented, defensible.
Standalone business-analytics engagements, KPI modeling, market analysis, scenario planning, for leadership teams that need a rigorous answer before a board meeting, not after.
Co-authoring proposals and RFP responses for both public and private funding: U.S. federal programs (DOE, DOD, NSF, NIH), state and municipal initiatives, private foundations, and international funding bodies across Europe and Asia. Partnership formation included.
Beyond delivery, Brighture runs targeted educational programs for teams adopting AI, from one-day executive workshops to multi-week tutorials that leave engineering teams with the workflows, prompts, and evaluation harnesses they need to keep going on their own.
Architecting at the edge or in the cloud, designing evaluation pipelines, building agentic workflows, or making sense of GenAI tooling, we shape the program around the gap your team actually has.
Both work as starting points. A 30-minute conversation is the fastest way to find out whether Brighture is a fit, or whether we should point you somewhere better.
