Continuous opportunity intake
Federal and grant sources arrive beside the documents and links your team adds manually.
SAM.gov · Grants.gov · Agency forecasts · PDF/DOCX · URL

PursuitOne is the agentic AI pursuit platform that moves qualified government opportunities from discovery to submission-ready proposals through a governed AutoPilot workflow.
It brings opportunity intelligence, explainable PWIN, specialized proposal agents, source evidence, and human approval into one coordinated system.
Auto-Pilot
Sample operating view
Mission control for demand
The value is not another source list. It is the operating layer that decides what deserves attention, why it fits, and what should happen next.
Qualification view
Opportunity intake
SAM.gov supplies federal contract notices, Grants.gov supplies grant opportunities, agency procurement forecasts show planned requirements before solicitation, and USAspending.gov supplies award and spending analysis.
Organization profile
NAICS/PSC codes, capabilities, certifications, set-asides, geography, and applicant type define fit.
Partner context
Teaming partners add capabilities while prime eligibility remains clearly separated.
Decision trail
Relevance, deadline, PWIN, and explanations travel with every qualified opportunity.
Federal and grant sources arrive beside the documents and links your team adds manually.
SAM.gov · Grants.gov · Agency forecasts · PDF/DOCX · URL
Past-due, ineligible, and low-fit notices stop before they consume proposal effort.
Future deadlines · eligibility · mission fit
Eleven evidence-based factors assess your eligibility, position, readiness, and agency demand.
Eligibility cap · weak-factor actions
Qualified work is added to the pipeline to watch. The Bid or No-Bid call happens later, on the pursuit.
Watch first · decide deliberately
Have the qualified opportunities list or the pursuit pipeline emailed to you and your colleagues daily, weekly, or monthly.
Inline summary · full PDF link
Governed agentic proposal team
Every proposal starts with technical, subject-matter, and financial AI reviewers. Project owners can keep AI on a role or invite a human, with AI ready to cover any delayed review.
Nine-step pursuit path
Capture
Bid / No-Bid
Sources
Compliance
Strategy
Drafts
Reviews
Evaluation
Submit
Reads the solicitation, buyer context, intelligence, and attached source documents.
Builds the requirement matrix before drafting begins and flags missing evidence.
Shapes win themes, team rationale, proof points, and the response approach.
Produces cited, section-level drafts using approved sources and your libraries.
Technical, subject-matter, and financial AI reviewers assess each response with topic-specific expertise, while invited people can review the same seats.
Checks the package, attachments, versions, approvals, and submission readiness.
Continuous improvement
Win/loss debriefs and after-action notes are not filed and forgotten. PursuitOne structures the lessons — strengths, weaknesses, corrective actions, and customer feedback — so the agentic proposal team can apply them to future strategy, drafts, and compliance checks.
Every submission — win or loss — produces an after-action record.
Upload win/loss notes, customer feedback, and corrective actions.
Strengths, weaknesses, and lessons are structured for reuse.
Institutional learning lives in the workspace library.
Future proposal agents draw on those lessons for strategy, drafts, and compliance.
Growth intelligence
PursuitOne connects four distinct source layers: agency procurement forecasts, SAM.gov notices, federal award records, and USAspending market analysis. Your profile turns that evidence into ranked agencies and matching requirements, without treating a forecast as a confirmed solicitation.
Published procurement plans surface requirements before they become confirmed SAM.gov notices, with dates and values clearly labeled as agency estimates.
USAspending history in the codes you perform ranks the buyers most relevant to your organization and shows forecast coverage for each one.
Award records add incumbent, obligation, pricing-position, and recompete context to market analysis and win scoring.
Review matching requirements in a list, inspect the evidence, and move a promising forecast into the pursuit pipeline for deliberate qualification.
Evidence first: market scores come from published federal award data and your registered capabilities. Forecast dates and values remain labeled as agency estimates. AI guidance sits beside its evidence, never in place of it.
A.G.E.N.T. operating model
PursuitOne applies a leadership-centered operating discipline to agentic work: understand the workflow, define the outcome, engineer the system, establish the human-agent relationship, and track what happened.
Leadership sets the conditions. Your organization defines the guardrails, owners, evidence standards, and approval authority. Agents perform bounded work inside that structure; people retain judgment and accountability.
Understand the pursuit workflow, sources, roles, constraints, and work as it happens today.
Define the desired outcome and qualify the work against organization-specific evidence.
Coordinate specialized agents, approved knowledge, and review stages around the proposal.
Make human ownership, agent boundaries, approvals, overrides, and escalation explicit.
Retain sources, decisions, versions, outcomes, lessons, and the evidence needed to assess value.
A.G.E.N.T. is used here as an operating framework informing PursuitOne’s design; it does not imply certification or endorsement by HDSI.
Your organization’s Think Partner
Sage starts with your organization’s profile, interprets what your team needs to decide, researches workspace records and trusted public sources, then returns a recommendation with evidence, assumptions, and a concrete next step — by voice or text.
Sage
Your Organization’s Think Partner — name, voice, image, and greeting are yours to set
Built for small teams
PursuitOne changes the workload: fewer unqualified reads, fewer version hunts, fewer missed handoffs, and more time for customer strategy and expert review.
Instead of reading every notice, your team begins with a qualified list ranked by fit, timing, and likelihood of success.
Requirements, assignments, versions, reviews, and evidence stay in one governed workspace instead of scattered inboxes.
Agent support handles repetitive drafting and checking so subject-matter experts can focus on judgment and customer insight.
The same disciplined operating model supports federal opportunities now and state, local, and grant growth as your sources expand.
Before
Source monitoring, qualification, compliance, drafting, and version control compete for the same few people.
With Auto-Pilot
The system filters and explains the queue, then prepares the governed proposal workspace.
Your team keeps
Customer judgment, technical insight, pricing decisions, review authority, and final release.
Leadership and governance
Responsible agentic work is not a final approval button. PursuitOne connects AI governance, data governance, and organizational governance so leaders can set direction, assign authority, inspect evidence, and remain accountable for the outcome.
Explainable recommendations, bounded agent roles, lifecycle controls, human oversight, and documented agent actions.
Source lineage, workspace permissions, protected financial information, retained evidence, and versioned outputs.
Named owners, approval authority, role-aware access, change leadership, and accountable final decisions.
Proof and control
Every draft remains connected to requirements, organization and teammate evidence, reviewer decisions, financial inputs, and the version that produced it.
Compliance matrix
Labor rates, cost data, and pricing records stay in a protected Financial Library. They can support budgets, forecasts, and quotes without exposing raw rates to unauthorized reviewers.
Governance continues after submission: outcomes, debriefs, customer feedback, and corrective actions become institutional memory for future work. They inform the next pursuit without guaranteeing its result.
Plans
Every plan includes specialist AI reviewers. Auto-Pilot is visible on every plan, off by default, and available to activate on Professional and Scale. It always stops for authorized human approval before the Submit Folder is released.
For small businesses and non-profits pursuing their first contracts or grants.
$199/mo
$159/mo billed annually at $1,908 — save $480
For growing teams with a steady pipeline of bids and applications.
$499/mo
$399/mo billed annually at $4,788 — save $1,200
For organizations bidding continuously across several programs.
$999/mo
$799/mo billed annually at $9,588 — save $2,400
Bring your opportunities, partners, libraries, and reviewers into one governed workspace built for the next contract or grant — not another spreadsheet.